Institut für Raumbezogene Informations- und Messtechnik
Hochschule Mainz - University of Applied Sciences

Suche

Boochs, Frank

Projekte

2018

The aim of the project is the documentation of the physical cultural heritage within Kathmandu Valley, espacially the monastic courtyards and the arcaded rest houses. Funded by Arcadia Fund and led by Heidelberg Centre of Transcultural Studies (…
Industrieroboter gewinnen durch ihre vielfältige Einsetzbarkeit sowohl in vielen Bereichen der Industrie als auch in der Messtechnik an Interesse. Ein großer Arbeitsbereich, hohe Traglasten und geringe Investitionskosten sind dabei wesentliche…
Ziel des Kooperationsprojektes zwischen dem i3mainz und der Sarl Germolles, vertreten durch Prof. Christian Degrigny, ist es, die Veränderungen und Deformationen der Stuckapplikationen des Garderobenzimmers von Margarethe von Bayern über mehrere…
Die sogenannte African Red Slip Ware (ARS) ist eine für das Verständnis spätantiker Vorstellungswelten und ihres Wandels, wie auch für die Wirtschaftsgeschichte zentrale archäologische Objektgattung. Das vom Bundesministerium für Bildung und…

2017

Wie aus der Zeit gefallen ragt das Brandungskliff am Steigerberg aus einer stillgelegten Kiesgrube. Da das Kliff auf dem Grundstück der RKS Kies- und Splittwerke liegt, soll es in naher Zukunft zugeschüttet werden. Aus diesem Grund erfolgte durch…
Im Zuge dieser Sonderausstellung „Die Bilderwelt der Kelten“ sind keltische Kleinplastiken aus Bronze mittels hochpräziser optischer 3D-Messtechnik in Kombination mit hochauflösenden RGB Farbbildern erfasst wurden. Hintergrund der Messtätigkeit ist…
Industrieroboter gewinnen durch ihre vielfältige Einsetzbarkeit sowohl in vielen Bereichen der Industrie als auch in der Messtechnik an Interesse. In Verbindung mit einem optischen Messsystem ermöglicht sie neue, hochgenaue und zugeschnittene 3D-…
In den zurückliegenden Jahren kann auf eine erfolgreiche Zusammenarbeit mit dem Institut für Steinkonservierung e.V. (IfS) zurückgeblickt werden. Nachdem in der vergangenen Zeit einige Pilotprojekte zur Untersuchung der Verwendbarkeit aktueller 3D-…
Im Rahmen des Aufbaus eines Zentrums zur Präzisionsmess- und Prüftechnik ist das i3mainz neben den Aktivitäten auf dem Gebiet der DKD-Zertifizierung des Kalibrierlabors für optisch antastbare Maßstäbe auch im Bereich der Kalibrierung optischer…

2016

In der Orthopädietechnik werden Hilfsmittel (Prothesen / Orthesen) überwiegend über Prozessketten hergestellt, die sich klassischer Gips-Guss- und Abformtechnik bedienen. CNC-Fräsen oder 3D-Druck werden spärlich eingesetzt, da hierfür digitale…
In diesem Projekt werden historische Nassholzbohlen und hölzerne Befestigungsmaterialien des Karlsgraben mithilfe von hochpräziser und flächenhaft arbeitender 3D-Messtechnik geometrisch erfasst. Dies dient zum einen der reinen Dokumentation und zum…
The KnowDIP project aims at the conception of a framework for an automatic object detection in unstructured and heterogeneous data. This framework uses a representation of human knowledge in order to improve the flexibility, the accuracy, and the…
Zur Publikation und Unterstützung der archäologischen Interpretation sollte 2016 eine plattformunabhängige Applikation entwickelt werden mit dessen Hilfe die unterschiedlichen 3D-Daten (TLS, Photogrammetrie, CAD-Konstruktionen) des Palastbrunnens…
Im Zuge der Publikation und Analyse der 3D-Daten eines unberührten Gruftkomplexes zu Qatna ist die Bereitstellung der Daten anhand einer plattformunabhängigen Web-Applikation beschlossen worden, um den Projektteilnehmern sowie einem öffentlichen…

2015

Die Archäologische Staatssammlung München bearbeitet seit Mitte 2012 in ihren Restaurierungswerkstätten die Blockbergung eines hallstattzeitlichen Kammergrabes (7. Jh. v. Chr.) aus Otzing (LK Deggendorf, Niederbayern) mit einer Fülle von Kleinfunden…
Der Königspalast stellte über mehrere Jahrhunderte das offensichtlichste Symbol für Macht und Reichtum der Herrscher von Qatna dar. Offenbar scheuten seine Erbauer keine Kosten und Mühen, um einen Amts- und Wohnsitz zu errichten, der die Residenzen…
The SemGIS project aims at interpreting heterogeneous data by creating interoperability via a semantic layer between former unrelated spatial and non-spatial data sets. Applications of this semantic layer are to be found in disaster management and…
Modellierung der historischen Geographie Nordmesopotamiens im 2. Jt. v. Chr. mittels der integrierten Analyse von Texten, Archäologie und Raum, Geoinformatik und dem semantischen Netz
The presented project is an internship project by two french master’s degree students. It has been realized in partnership with the German railway company, Deutsche Bahn. The project aim is to automatically detect and identify the various types of…

2014

Mittels hochauflösender, dreidimensionaler Dokumentation unterstützt das i3mainz die archäologische Untersuchung von Petroglyphen. Verschiedene Aufnahmetechniken kommen zum Einsatz, um nicht nur die Petroglyphen selbst zu dokumentieren, sondern auch…
Die Türkischen Kaganate sind die ersten Staatenbildungen in der mongolischen Steppe, die durch umfangreichere Schriftzeugnisse ins Licht der Geschichte getreten sind. Die nach Zahl und Inhalt bedeutenden Inschriften sind überwiegend in einem „Runen…
Nach erfolgreichem Abschluss des Projektes WIDOP wurde WIDOPII ins Leben gerufen um das Lösungsprinzip auf eine neue Aufgabe zu übertragen.
Auf der archäologischen Ausgrabung in Qatna (Syrien) wurde 2008 ein Brunnen mit Nassholzfunden freigelegt und anschließend dreidimensional dokumentiert. Die Auswertung der auf den Holzfund bezogenen Daten wurde von 2010-2012 realisiert. (siehe dazu…

2013

Im Bereich der Restaurierung und musealen Ausstellung ist schon seit vielen Jahren das Anfertigen von Repliken in Form von physischen Abgüssen und anderer ähnlicher Varianten etabliert. Mit der Weiterentwicklung von 3D-Drucktechniken werden digitale…
Optimierte geometrisch/physikalische Modellierung digitaler Industriemesskameras im Einsatz der industriellen Qualitätskontrolle.
Ähnlich wie in dem KUR (Konservierung und Restaurierung) Projekt in Zusammenarbeit mit dem RGZM Mainz, werden hier Nassholzproben auf unterschiedliche Art und Weise konserviert. Diese verschiedenen Ansätze der Konservierung wurden mit Hilfe…

2012

Durch interdisziplinäre Zusammenarbeit auf europäischer Ebene soll eine neue, unabhängige Wissensbasis geschaffen werden, um mittels bestehender und neu zu entwickelnder optischer Messtechniken die Dokumentation des europäischen Kulturerbes besser…
Die globalen technischen Herausforderungen der Zukunft erfordern in Europa gut ausgebildete Hochschulabsolventen. Das von der EU im Lifelong Learning Programm geförderte Projekt SALEIE hat Modellstudiengänge für den Bereich der Informations- und…
Die Archäologische Staatssammlung München bearbeitet seit Mitte 2012 in ihren Restaurierungswerkstätten die Blockbergung eines hallstattzeitlichen Kammergrabes (7. Jh. v. Chr.) aus Otzing (LK Deggendorf, Niederbayern).
Das neue Erscheinungsbild verleiht dem Institut zum ersten Mal ein einheitliches und unverwechselbares Auftreten. Dafür wurde ein prägnanter Look geschaffen, der sich durch alle Medien zieht, und das i3mainz deutlich von anderen Instituten abhebt.

Nachrichten

2019

In der Woche nach Ostern, vom 23.-27. April, fand in Krakau die Konferenz CAA 2019 - Computer Applications & Quantitative Methods in Archaeology statt. D…

Unterstützt durch das Programm "InnoProm – Innovation und Promotion" und in Kooperation mit der V&R Vision & Robotics GmbH in Koblenz starteten zu Be…

Mit zwei Vorträgen war das i3mainz auf den 18. Oldenburger 3D-Tagen vom 6. bis 7. Februar 2018 vertreten.

Jean-Jacques Ponciano stellte einige Resultat…

Mit der Frage „Was geht?“ lud das Institut für Steinkonservierung e. V. zu einer Tagung am 6. Dezember 2018 ein, um der Frage nach zerstörungsfreien Untersuc…

2018

Vier Tage lang, vom 15. bis 18. Mai 2018, stand Leipzig im Zeichen der Technischen Orthopädie. Mehr als 570 Aussteller aus 43 Ländern präsentierten sich auf…

Am 14. März lud die Zukunftsinitiative Rheinland-Pfalz (ZIRP) e.V. Salvatore Barbaro, seit 2016 Staatssekretär im Ministerium für Wissenschaft, Weiterbildung…

2017

Bei der Konferenz WEBIST 2017, der 13th International Conference on Web Information Systems and Technologies, die vom 25.-27. Apri…

In Anwesenheit von Wissenschaftsminister Prof. Dr. Konrad Wolf sowie der Geschäftsleitung der Carl-Zeiss-Stiftung wurde am 5. Mai an der Hochschule Mainz das…

2016

Ashish Karmacharya, Stefanie Wefers und Frank Boochs wurden für ihr Paper mit dem Titel "Knowledge Based Recommendation on Optimal Spectral and Spatial Recor…

Am 10. und 11. Oktober 2016 ging die EU COST Action „Colour and Space in Cultural Heritage (COSCH)“ mit der Abschlusskonferenz "Guides to good Practice in Do…

Publikationen

2018

i3mainz - Jahresbericht 2017

2018

F Boochs, Nicole Bruhn

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<p>Im Jahresbericht werden die Aktivitäten des i3mainz in komprimierter Form vorgestellt.</p>

Semantische Geoinformationssysteme: Integration heterogener Geodaten am Beispiel XErleben

2018

Timo Homburg, Claire Prudhomme, Frank BOOCHS

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<p>This poster has been presented during the conference Der Fachaustausch Geoinformation (http://www.fachaustausch-geoinformation.de/) organized by GeoNet.MRN to exhibit the semantic geographic information system developed in the context of SemGIS project. The poster shows the approaches used to integrate heterogeneous data sets from different sources. These data sets can then, be enriched through resources from the Semantic Web. An example of such enrichment is presented from an integrated XErleben data. Finally, it illustrates the functionalities of the system to query and visualize data, but also the downlift of selected data according to different standardized formats.</p>

Semantische Geoinformationssysteme: Integration und Management von heterogener Geodaten

2018

Timo Homburg, Claire Prudhomme, Frank BOOCHS

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2017

Towards the design of respond action in disaster management using knowledge modeling

2017

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The Fourth International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2017)
<p>This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information impact on the disaster response in order to support the decisionmaking about what information shared or what quality of data used to improve the response efficiency. Our research approach propose to combine an information system able to integrate heterogeneous data and a simulation system to assess different strategies of information sharing, dissemination and use. A knowledge base is used as a bridge between information system and simulation system. This knowledge base allows for designing dynamically a simulation according to open data and for managing the own knowledge and information known by each agent.</p>

A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

2017

Prudhomme, Claire, Cruz, Christophe, Roxin, Ana, Boochs, Frank

International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
<p><span id="ctl00_cphFeatured_lblAbstract">The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.</span></p>

Ontology-based Knowledge Representation for Recommendation of Optimal Recording Strategies - Photogrammetry and Laser Scanning as Examples.

2017

S Wefers, A Karmacharya, F Boochs

gis.Science
<p><span style="color: rgb(73, 72, 72); font-family: Roboto, Roboto, &quot;Helvetica Neue&quot;, sans-serif; font-size: 14px; text-align: justify;">Experts&rsquo; knowledge about optical technologies for spatial and spectral recording is logically structured and stored in an ontology-based knowledge representation with the aim to provide objective recommendations for recording strategies. Besides operational functionalities and technical parameters such as measurement principles, instruments, and setups further factors such as the targeted application, data, physical characteristics of the object, and external influences are considered creating a holistic view on spectral and spatial recording strategies. Through this approach impacting factors on the technologies and generated data are identified. Semantic technologies allow to flexibly store this knowledge in a hierarchical class structure with dependencies, interrelations and description logic statements. Through an inference system the knowledge can be retrieved adapted to individual needs.</span></p>

Analyse von Bildresiduen mit Machine-Learning im Rahmen von Kamera-Kalibrierungen

2017

Waldemar Kisser, F Boochs, Dietrich PAULUS

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<p>Photogrammetrie ermöglicht es, Objekte mithilfe von Digitalbildern zu vermessen. Bei optimalen Messbedingungen sind Qualitätsunterschiede der abgeleiteten Maße vor allem auf die mathematische Modellierung des verwendeten Sensors und des Objektivs zurückzuführen. Photogrammetrische Kalibrierungen erfolgen meist mittels Bündelblockausgleichung. Diese gestattet es, vielerlei statistische Kennzahlen abzuleiten. Eine tiefer gehende Analyse der berechneten Parameter, Standardabweichungen, Korrelationen und deren Verteilungen kann Aufschluss darüber geben, ob das verwendete Kalibriermodell Schwächen aufweist. Solche Defizite können sich durch systematische Restfehler im Bild- oder Objektraum äußern. Da solche Restfehler auch zu Ungenauigkeiten in den daraus abgeleiteten Informationen führen können, ist deren mathematischer Nachweis und anschließende Kompensation zur Erzielung höchster Genauigkeiten unausweichlich. Neueste Ansätze nutzen Korrekturterme, um Residuensystematiken schon während der Bündelblockausgleichung zu modellieren. Dieser Beitrag beschreibt, wie auch Machine-Learning-<br />Techniken dabei helfen können, verbliebene systematische Abweichungen in Bildresiduen nachzuweisen, ohne dass hierzu ein Eingriff in die Bündelblockausgleichung notwendig ist. Dies wird im ersten Schritt anhand von Beispieldaten erläutert. Im zweiten Schritt wird die Wirkung dieser Vorgehensweise an einer realen Kamerakalibrierung verdeutlicht. Abschließend erfolgt eine Diskussion der im Zuge dieser Arbeit erzielten Resultate und möglicher Eignung dieses Verfahrens in der Praxis.</p>

Integration, quality assurance and usage of geospatial data with semantic tools

2017

Timo Homburg, Claire Prudhomme, F Boochs, Ana Roxin, Christophe Cruz

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i3mainz - Jahresbericht 2016

2017

F Boochs, Nicole Bruhn

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<p><span>Im Jahresbericht werden die Aktivitäten des i3mainz in komprimierter Form vorgestellt.</span></p>

How to optimally record cultural heritage objects? Decision support through connected knowledge.

2017

S Wefers, A Karmacharya, F Boochs, G Heinz

EVA Berlin 2017. Elektronische Medien & Kunst, Kultur und Historie 24. Berliner Veranstaltung der internationalen EVA-Serie Electronic Media and Visual Arts, 2017
<p>Optical recording of material cultural heritage (CH) is a multidisciplinary activity where the understanding of cross-disciplinary semantics is vital for a successful completion. In many cases, a lack of understanding of transdisciplinary semantics slows this process down. The end users who are mostly humanities experts lack the technical knowledge of spatial and spectral recording and could therefore demand more than what is actually required or sufficient for the intended CH application. The negotiations between technical experts and the end users are a tedious process. We present a semantic-based decision support system, COSCH<sup>KR</sup>, that employs reasoning and recommends optimal recording technology(ies) according to the application requirements of the recorded and processed data. COSCH<sup>KR</sup> is an ontology-based knowledge model that implies the development of semantic technologies within the Semantic Web framework. It represents formalized knowledge of the disciplines involved in the process of optical recording of material CH. The paper describes the applicability of the model in spatial, spectral, and visualization applications and summarises current possibilities and challenges.</p>

Automatic Integration of Spatial Data into the Semantic Web

2017

Claire Prudhomme, Timo Homburg, Jean-Jacques Ponciano, F Boochs, Roxin, Ana, Cruz, Christophe

WebIST 2017
<p><span class="foldable-text" data-reactid="122" id="yui_3_14_1_1_1505396336545_1222">For several years, many researchers tried to semantically integrate geospatial datasets into the semantic web. Although, there are many general means of integrating interconnected relational datasets (e.g. R2RML), importing schema-less relational geospatial data remains a major challenge in the semantic web community. In our project SemGIS we face significant importation challenges of schema-less geodatasets, in various data formats without relations to the semantic web. We therefore developed an automatic process of semantification for aforementioned data using among others the geometry of spatial objects. We combine Natural Language processing with geographic and semantic tools in order to extract semantic information of spatial data into a local ontology linked to existing semantic web resources. For our experiments, we used LinkedGeoData and Geonames ontologies to link semantic spatial information and compared links with DBpedia and Wikidata for other types of information. The aim of our experiments presented in this paper, is to examine the feasibility and limits of an automated integration of spatial data into a semantic knowledge base and to assess its correctness according to different open datasets. Other ways to link these open datasets have been applied and we used the different results for evaluating our automatic approach.</span></p>

Digital 3D reconstructed models A proposition for structuring visualisation workflows using semantic technologies for recommendations

2017

Stefanie Wefers, Ashish Karmacharya, Mieke Pfarr-Harfst, Frank BOOCHS

Studies in Digital Heritage
<p>It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.</p>

Genauigkeitsabschätzung von Bündelblockausgleichungen mit Hilfe des EMVA1288 Standards

2017

Waldemar Kisser, Frank BOOCHS, Dietrich PAULUS

gis.Science Zeitschrift fĂĽr Geoinformatik
<p>Dieser Beitrag beschreibt die a priori Abschätzung erreichbarer Genauigkeiten der Bündelblockausgleichung. Dies geschieht mit Hilfe des EMVA1288 Standards. Durch numerische Simulationen wird hierzu zunächst die Zentrumsunsicherheit der Zielmarken mit der daraus folgenden Objektraum-Unsicherheit verknüpft. Der nächste Schritt ist eine Verknüpfung der EMVA1288-Kennzahlen und der daraus resultierenden Unsicherheit eines Grauwertes mit Algorithmen zur Ellipsendetektion. Abschließend wird ein stochastisches Modell vorgeschlagen und an einer real durchgeführten Kamerakalibrierung untersucht.</p>

2016

Detection and classification of railway switches in point clouds of the German railway system

2016

Jean-Jacques Ponciano, Claire Prudhomme, F Boochs

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i3mainz - Jahresbericht 2015

2016

F Boochs, Nicole Bruhn, J Wachter

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<p><span>Im Jahresbericht werden die Aktivitäten des i3mainz in komprimierter Form vorgestellt.</span></p>

Analyse von Bildresiduen mit Machine-Learning im Kontext von Kamera-Kalibrierungen

2016

Waldemar Kisser, F Boochs, Paulus, D.

Oldenburger 3D Tage 2016
<p>Photogrammetrie ermöglicht es, Objekte mit Hilfe von Digitalbildern zu vermessen. Bei optimalen Messbedingungen sind Unterschiede in der Qualität der abgeleiteten Maße vor allem auf die mathematische Modellierung des verwendeten Sensors und der Linse zurückzuführen. Kalibrierungen erfolgen meist mittels Bündelblockausgleichung, die es gestattet, daraus vielerlei statistische Kennzahlen abzuleiten. Eine tiefergehende Analyse der berechneten Parameter, Standardabweichungen, Korrelationen und deren Verteilungen kann Aufschluss geben, ob das verwendete Kalibriermodell Schwächen aufweist. Solche Defizite können sich durch systematische Restfehler im Bild- oder Objektraum äußern. Da solche Restfehler zu Ungenauigkeiten in den daraus abgeleiteten Informationen führen können, ist deren mathematischer Nachweis und anschließende Kompensation zur Erzielung höchster Genauigkeiten unausweichlich. Neueste Ansätze nutzen Korrekturterme, um solche Systematiken schon während der Bündelblockausgleichung zu modellieren. Der vorliegende Beitrag beschreibt, wie auch Machine-Learning Techniken dabei helfen können, verbliebene systematische Abweichungen in Bildresiduen nachzuweisen, ohne dass hierzu ein Eingriff in die Bündelblockausgleichung notwendig ist. Dies wird im ersten Schritt anhand von Beispieldaten erläutert. Im zweiten Schritt wird die Wirkung dieser Vorgehensweise an einer realen Kamerakalibrierung verdeutlicht. Abschließend erfolgt eine Diskussion der im Zuge dieser Arbeit erzielten Resultate und möglicher Eignung dieses Verfahrens in der Praxis.</p>

Interpreting Heterogenous Geospatial Data using Semantic Web Technologies

2016

Timo Homburg, Claire Prudhomme, Falk WĂĽrriehausen, A Karmacharya, F Boochs, Christophe Cruz, Ana-Maria Roxin

Computational Science and Its Applications -- ICCSA 2016
<p>The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. &nbsp;We highlight this through use cases in disaster management and planned land use that are significantly different. This paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when dealing with raster geodata and more advanced geospatial operations.</p>

Knowledge based Object Detection in Images and Point clouds

2016

Jean-Jacques Ponciano, F Boochs, A. Trémeau

Molas 2016









Development of a platform recommending 3D and spectral digitisation strategies.

2016

S Wefers, A Karmacharya, F Boochs

Virtual Archaeology Review
<p>Spatial and spectral recording of cultural heritage objects is a complex task including data acquisition, processing and analysis involving different technical disciplines. Additionally, the development of a suitable digitisation strategy satisfying the expectations of the humanities experts needs an interdisciplinary dialogue often suffering from misunderstanding and knowledge gaps on both the technical and humanities sides. Through a concerted discussion, experts from the cultural heritage and technical domains currently develop a so-called COSCH KR (Colour and Space in Cultural Heritage Knowledge Representation) platform that will give recommendations for spatial and spectral recording strategies adapted to the needs of the cultural heritage application. The platform will make use of an ontology through which the relevant parameters of the different domains involved in the recording, processing, analysis, and dissemination of cultural heritage objects are hierarchically structured and related through rule-based dependencies. Background and basis for this ontology is the fact that a deterministic relation exists between (1) the requirements of a cultural heritage application on spatial, spectral, as well as visual digital information of a cultural heritage object which itself has concrete physical characteristics and (2) the technical possibilities of the spectral and spatial recording devices. Through a case study which deals with the deformation analysis of wooden samples of cultural heritage artefacts, this deterministic relationship is illustrated explaining the overall structure and development of the ontology. The aim of the COSCH KR platform is to support cultural heritage experts finding the best suitable recording strategy for their often unique physical cultural heritage object and research question. The platform will support them and will make them aware of the relevant parameters and limitations of the recording strategy with respect to the characteristics of the cultural heritage object, external influences, application, recording devices, and data.</p>

Interdisciplinary Dialogue Towards an Enhanced Understanding of Optical Techniques for Recording Material Cultural Heritage - Results of a COST Action

2016

F Boochs, Bentkowska-Kafel, A., S Wefers

C. E. Catalano, L. De Luca (eds): Proceedings EUROGRAPHICS Workshop on Graphics and Cultural Heritage (2016), Genova, Italy, pp. 219-222
<p>The COST Transdomain Action TD1201, Colour and Space in Cultural Heritage [COSb], 2012-2016, contributes to the conservation and preservation of cultural heritage (CH) by enhancing shared understanding, between experts from various disciplines, of the spectral and spatial recording of physical CH objects. Optimal recording, adapted to the requirements of a CH application, should involve experts from multiple disciplines and industries. Such an interdisciplinary approach is necessary &quot;in order to protect, preserve, analyze, understand, model, virtually reproduce, document and publish important CH in Europe and beyond&quot; [COSa]. In order to fulfil this goal, experts from 28 European countries entered into a multidisciplinary dialogue trying to establish a common understanding of spatial and spectral recording techniques best suited for particular CH applications. Several COSCH groups worked on the characterisation of spatial and spectral recording techniques; the use of algorithms and processing chains; and requirements of analysis, restoration and visualisation of CH surfaces and objects. A range of possible applications of optical techniques, now available to recording and examination of CH objects, have been tested through six COSCH case studies [BKM17]. These projects have exposed the challenges of common understanding of the processes involved, and differences in disciplinary research needs and methods. A number of issues have been identified, sometimes as basic as lack of common specialist terminology and relevant technical standards. The complexity of the field became apparent in the course of designing COSCHKR, ontological knowledge representation, which employs semantic technologies. After four years of interdisciplinary dialogue, COSCH leaves a legacy that will help the dialogue to continue, technology to develop, and specialist training to better respond to the actual needs of the interdisciplinary CH research communities.</p>

SIVT - Processing, Viewing, and Analysis of 3D Scans of the Porthole Slab and Slab B2 of ZĂĽschen I

2016

S Wefers, T Reich, B Tietz, F Boochs

CAA2015 - Keep the Revolution Going. Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology.









Knowledge Based Recommendation on Optimal Spectral and Spatial Recording Strategy of Physical Cultural Heritage Objects

2016

A Karmacharya, S Wefers, F Boochs

SEMAPRO 2016: The 10th Internat. Conference on Advances in Semantic Processing
<p>Ontologies have traditionally been used to represent knowledge of a specific domain. They are also used to provide a base to infer the knowledge present inside them. However, the applications of ontologies within the Cultural Heritage (CH) community have been restricted to providing standard documentation for significant heritage objects. E.g., widely used ontology within CH disciplines, International Committee for Documentation Conceptual Reference Model (CIDOC CRM) is designed to provide standards in documenting archival information of physical CH object. There has been hardly any work relating the objects to their documentation purposes. In this paper, we present the Colour and Space in Cultural Heritage Knowledge Representation (= COSCHKR) ontology &ndash; a multi-faceted ontology. With COSCHKR, we present a system that infers inter-woven descriptive semantics of different involved CH disciplines in recording CH objects to recommend optimal spatial and spectral technical solutions to humanities experts and guide through the underlying complexities while recording their objects. It takes numbers of facts into consideration including physical characteristics of the CH objects, the characteristics of their surroundings and even other relevant facts such as budget or staff competence to infer against the characteristics of the technologies for a proper recommendation. In contrast to a typical Recommender System, which does the same for web-based content through stochastic methods, we use descriptive semantics at the concept level.</p>

SEMANTIC CATALOGUE TO MANAGE DATA SOURCES IN DISASTER MANAGEMENT SYSTEM

2016

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The 15th International Conference on Informatics in Economy 2016
<p><span class="foldable-text" data-reactid="118" id="yui_3_14_1_1_1505396728757_1230">With the climate change, disasters occur more frequently and the need for efficient disaster management systems becomes highly recommended to save lives. This paper deals with a study of existing systems, with the intention of determining the main recent improvement in the domain. The heterogeneous data integration process is a major central point. Thus, a semantic system with three main components is proposed as a new position in the disaster management systems. These three components are a knowledge base, a reasoner and a semantic catalogue. The knowledge base provides a controlled vocabulary and allows storing information retrieval. The semantic catalogue facilitates the access to data sources adapted to user&#39;s and agent&#39;s needs. The reasoner analyzes the information in the knowledge base thus replying to the user queries. In addition, the reasoner aims at adding automatically new data sources in the semantic catalogue. The fast access to a great number of data sources is of benefit for decision-making systems such as disaster management systems.</span></p>

2015

Semantic based Structuring of 3D technologies for their optimized use in cultural heritage documentation.

2015

A Karmacharya, S Wefers, F Boochs

43rd Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015, Siena, Book of Abstracts.
<p>Constant technological progress results in new possibilities to produce reliable and rich spatial data of cultural heritage objects: for instance, museums have started to digitize their collections, more and more archaeological excavations or features and entire CH buildings have been documented in 3D. It is now necessary to establish connections among different CH disciplines and several technical disciplines, and to work on collaborative projects.</p><p>Technicians and CH experts together evaluate the best technique for specific CH object documentation, implementation and use. This discussion arises from the knowledge gaps of each counterpart in respect to the other discipline. Projects such as Agora 3D (see below) clearly demonstrate the need for an evaluation of the different available techniques.</p><p>In order to make optimal use of these technological capabilities, it is important to identify and name the information required to best serve the reasoning processes in these application fields. Correspondingly it is necessary to know about the characteristics of digitization techniques producing the content adapted to the needs of the applications. Due to the considerable complexity of instruments and processes producing the data, it is helpful to have a clear structure which relates the capabilities of the instruments to the requirements of the applications.</p><p>The COST Action TD1201 &ldquo;Colour and Space in Cultural Heritage (COSCH)&rdquo; takes this need into account, aiming to enhance the understanding among these disciplines. We will focus on the already listed, structured and evaluated available 3D technologies. At the same time, experts in spectral and CH research started to list, structure, and evaluate their knowledge. These evaluations yield a structure of technologies, and ultimately the techniques and instruments using their characteristics. The understanding of these characteristics provides insights for their potential applications. The ontology knowledge model accessible through so-called &ldquo;COSCH<sup>KR </sup>App&rdquo; provides a knowledge structure. It benefits from the development of semantic technologies from the Semantic Web framework. Semantics, which provide meanings, are captured through the conceptual structure and are defined through the ontology. The overall aim of this ontology is the development of a software tool to enable a better understanding of data acquisition techniques and their support to optimally realize cultural heritage applications.</p>

Korrektur der Ellipsen-Exzentrizität im Kontext von Kamerakalibrierungen

2015

Waldemar Kisser, Burkhard Tietz, F Boochs, Dietrich PAULUS

Photogrammetrie, Laserscanning, Optische 3D-Messtechnik. Beiträge der Oldenburger 3D-Tage 2015
<p>Dieser Beitrag befasst sich mit dem Einfluss der Zielmarkenexzentrizität während der Kamera-<br />Kalibrierung in Kombination mit verschiedenen Kalibrierkörpern. Zunächst wird<br />deren Einfluss auf die Resultate anhand numerischer Simulationen nachgewiesen. In diesen<br />Simulationen wird eine Erfassung des Einflusses der Exzentrizität auf Bildmessung, Objekt-<br />und Kamerageometrie angestrebt. Im zweiten Schritt wird eine Realkalibrierung mit<br />vergleichbarer Aufnahmekonfiguration durchgeführt. Dabei werden Gemeinsamkeiten bzw.<br />Unterschiede der erreichten Ergebnisse diskutiert sowie eine mögliche Kompensation des<br />Einflusses in der Praxis erörtert.</p>

Relevance of ellipse eccentricity for camera calibration

2015

Waldemar Kisser, Burkhard Tietz, F Boochs, Dietrich PAULUS

Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 95280D
<p>Plane circular targets are widely used within calibrations of optical sensors through photogrammetric set-ups. Due to this popularity, their advantages and disadvantages are also well studied in the scientific community. One main disadvantage occurs when the projected target is not parallel to the image plane. In this geometric constellation, the target has an elliptic geometry with an offset between its geometric and its projected center. This difference is referred to as ellipse eccentricity and is a systematic error which, if not treated accordingly, has a negative impact on the overall achievable accuracy. The magnitude and direction of eccentricity errors are dependent on various factors. The most important one is the target size. The bigger an ellipse in the image is, the bigger the error will be. Although correction models dealing with eccentricity have been available for decades, it is mostly seen as a planning task in which the aim is to choose the target size small enough so that the resulting eccentricity error remains negligible. Besides the fact that advanced mathematical models are available and that the influence of this error on camera calibration results is still not completely investigated, there are various additional reasons why bigger targets can or should not be avoided. One of them is the growing image resolution as a by-product from advancements in the sensor development. Here, smaller pixels have a lower S/N ratio, necessitating more pixels to assure geometric quality. Another scenario might need bigger targets due to larger scale differences whereas distant targets should still contain enough information in the image. In general, bigger ellipses contain more contour pixels and therefore more information. This supports the target-detection algorithms to perform better even at non-optimal conditions such as data from sensors with a high noise level.</p><p>In contrast to rather simple measuring situations in a stereo or multi-image mode, the impact of ellipse eccentricity on image blocks cannot be modeled in a straight forward fashion. Instead, simulations can help make the impact visible, and to distinguish critical or less critical situations. In particular, this might be of importance for calibrations, as undetected influence on the results will affect further projects where the same camera will be used. This paper therefore aims to point out the influence of ellipse eccentricities on camera calibrations, by using two typical calibration bodies: planar and cube shaped calibration. In the first step, their relevance and influence on the image measurements, object- and camera geometry is shown with numeric examples. Differences and similarities between both calibration bodies are identified and discussed. In the second step, practical relevance of a correction is proven in a real calibration. Finally, a conclusion is drawn followed by recommendations to handle ellipse eccentricity in the practice.</p>

Knowledge guided object detection and identification in 3D point clouds

2015

A Karmacharya, F Boochs, Burkhard Tietz

Videometrics, Range Imaging, and Applications XIII, 952804
<p><span class="Abstract" id="scm6MainContent_rptSections_lblSection_0">Modern instruments like laser scanner and 3D cameras or image based techniques like structure from motion produce huge point clouds as base for further object analysis. This has considerably changed the way of data compilation away from selective manually guided processes towards automatic and computer supported strategies. However it&rsquo;s still a long way to achieve the quality and robustness of manual processes as data sets are mostly very complex. Looking at existing strategies 3D data processing for object detections and reconstruction rely heavily on either data driven or model driven approaches. These approaches come with their limitation on depending highly on the nature of data and inability to handle any deviation. Furthermore, the lack of capabilities to integrate other data or information in between the processing steps further exposes their limitations. This restricts the approaches to be executed with strict predefined strategy and does not allow deviations when and if new unexpected situations arise. We propose a solution that induces intelligence in the processing activities through the usage of semantics. The solution binds the objects along with other related knowledge domains to the numerical processing to facilitate the detection of geometries and then uses experts&rsquo; inference rules to annotate them. The solution was tested within the prototypical application of the research project &ldquo;Wissensbasierte Detektion von Objekten in Punktwolken fĂĽr Anwendungen im Ingenieurbereich (WiDOP)&rdquo;. The flexibility of the solution is demonstrated through two entirely different USE Case scenarios: Deutsche Bahn (German Railway System) for the outdoor scenarios and Fraport (Frankfort Airport) for the indoor scenarios. Apart from the difference in their environments, they provide different conditions, which the solution needs to consider. While locations of the objects in Fraport were previously known, that of DB were not known at the beginning. &copy; (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.</span></p>

Jahresbericht 2014

2015

F Boochs, Nicole Bruhn, J Wachter

PDF

n.A.
<p>Im Jahresbericht werden die Aktivitäten des i3mainz in komprimierter Form vorgestellt.</p>

SIVT – Processing, viewing and analysis of 3D scans of the porthole slab and slab b2 of Züschen I

2015

S Wefers, T Reich, Burkhard Tietz, F Boochs

CAA









Support of Petroglyph analysis through processing and viewing of 3D scans.

2015

T Reich, F Boochs, S Wefers, B Tietz

43rd Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015, Siena, Book of Abstracts.
<p>Traditionally stone inscriptions or drawings are documented through pictures or rubbings. The latter ones represent an analogue copy of the stone&rsquo;s surface and its features which are reproduced on paper. The disadvantage of this technique is the physical impact to the stone and the contained elements. Images reproduce the surface without contact. However, they might be affected by geometrical distortions and need appropriate lighting conditions to show the signs properly.</p><p>These problems will be avoided by means of non-contact 3D measuring techniques, like fringe projection. Such high resolution 3D techniques provide an exact geometrical copy of the original petroglyph, offering better results in legibility compared to traditional techniques. Moreover, it gives a more objective base for analysis and has less impact on the sometimes sensitive and eroded surfaces. Furthermore 3D data allows more extensive and further possibilities in processing and gives better preconditions for the interpretation.</p><p>However, depending on factors like resolution, scanned surface and degree of overlap between individual scans original 3D datasets may represent large up to really massive volumes of data. An effective use of such datasets can only be realised if they are condensed and prepared in a suitable way. This means reduction of the data volume, minimising any disturbing influence emerging from the spatial shape of the surface and emphasizing relevant information. The corresponding preparation of the data will then be a good base for a interpretation performed by the human science specialist through an adapted visualization. In addition the data should be prepared for high performance presentation to a wider community via the internet.</p><p>Processed digital copies of the Petroglyphs are visualised in order to enable the user to inspect the processed scans of the objects. By inspecting the scans the application provides a mass of functionality for achieving different views into the Petroglyphs and their appearance. This comprises on the one hand a simple 2D viewer for the processed data, and on the other hand a 3D viewer with interactive changeable light positions and water levels as well as a viewer for applying various lookup tables (colour), predefined image filters (convolution) and template matching (matching) regarding individual characters.</p><p>Provided functionality of the 3D viewer is based on features of 3D computer graphics. Surface normal vectors from the grey values of the processed scans and a light direction vector from an interactively changeable light source are computed. In addition shading is complemented by water filling, whereby the gray values are limited by the water level selected. Individual modifications are possible to improve the subjective impression by the user, trying to support him in his process of interpretation. Interactive changes of the light source directly affect the shading of the surface and provide a better idea of the 3D surface of the inscription board. Dynamic virtual water filling enables the user to obtain an even better impression of the depth of the individual characters and emphasise weathered characters.</p><p>The paper will explain the developed techniques and document its potential at selected data sets.</p>

2014

Towards a knowledge model bridging technologies and applications in cultural heritage documentation

2014

F Boochs, Trémeau, A., Murphy, O., Gerke, M., Lerma, J.L., A Karmacharya, Karaszewski, M.

ISPRS Technical Commission V Symposium
<p>This paper documents the formulation of an international, interdisciplinary study, on a concerted European level, to prepare an innovative, reliable, independent and global knowledge base facilitating the use of today&rsquo;s and future optical measuring techniques for the documentation of&nbsp; cultural heritage. Cultural heritage professionals, color engineers and scientists share similar goals for the documentation, curation, long-term preservation and representation of cultural heritage artifacts. Their focus is on accuracy in the digital capture and remediation of artefacts through a range of temporal, spatial and technical constraints. A shared vocabulary to interrogate these shared concerns will transform mutual understanding and facilitate an agreed movement forward in cultural heritage documentation here proposed in the work of the COST Action Color and Space in Cultural Heritage (COSCH). The goal is a model that captures the shared concerns of professionals for a standards-based solution with an organic Linked Data model. The knowledge representation proposed here invokes a GUI interface for non-expert users of capture technologies, facilitates, and formulates their engagement with key questions for the field.</p>

Analysis of Relevant Features for Pollen Classification

2014

G Lozano-Vega, Benezeth, Yannick, Marzani, Franck, F Boochs, Iliadis, Lazaros, Maglogiannis, Ilias, Papadopoulos, Harris

Artificial Intelligence Applications and Innovations









Modular method of detection, localization, and counting of multiple-taxon pollen apertures using bag-of-words

2014

G Lozano-Vega, Benezeth, Yannick, Marzani, Franck, F Boochs

Journal of Electronic Imaging
<p>Abstract.&nbsp; Accurate recognition of airborne pollen taxa is crucial for understanding and treating allergic diseases which affect an important proportion of the world population. Modern computer vision techniques enable the detection of discriminant characteristics. Apertures are among the important characteristics which have not been adequately explored until now. A flexible method of detection, localization, and counting of apertures of different pollen taxa with varying appearances is proposed. Aperture description is based on primitive images following the bag-of-words strategy. A confidence map is estimated based on the classification of sampled regions. The method is designed to be extended modularly to new aperture types employing the same algorithm by building individual classifiers. The method was evaluated on the top five allergenic pollen taxa in Germany, and its robustness to unseen particles was verified.</p>

3D-Messen groĂźer Volumen bzw. groĂźer Bauteile

2014

D Berndt, F Boochs, P KĂĽhmstedt

Leitfaden zur optischen 3D-Messtechnik
<p>Große Bauteile entstehen im Fahrzeugbau (PKWs und LKWs in der Automobilproduktion, Flugzeugrumpfschalen oder<br />Turbinenmodule im Flugzeugbau, Rahmen und Außenhaut an Schienenfahrzeugen), im Schiffbau, im Anlagenbau oder bei der Produktion von Energieerzeugungsanlagen (Windenergieanlagen, Großturbinen, usw.). An sie werden hohe Anforderungen hinsichtlich Maßhaltigkeit und Ausführungsqualität gestellt. Typische, sich daraus ergebene Messaufgaben sind das Prüfen geometrischer Merkmale in einem großen Messvolumen (z. B. Maß- und Formabweichungen über mehrere Meter) sowie das dimensionelle Erfassen einer lokalen Bauteilgeometrie oder das Prüfen eines lokalen Montagezustands in einem global registrierten Bauteilkoordinatensystem.<br />Dazu kommen Sensoren zum Einsatz, die nur in einem lokal begrenzten Messvolumen, typischerweise kleiner 1m, Bild und<br />Geometrieinformationen erfassen können. Da die Abmessungen der Großbauteile mehrere Meter bis mehrere zehn Meter<br />betragen, müssen die lokal erfassten Prüfmerkmale für die sich anschließende Auswertung in ein globales Koordinatensystem, üblicherweise das Bauteilkoordinatensystem, transformiert werden.<br />&nbsp;</p>

Innovative concepts for image based data capture and analysis of huge point clouds

2014

F Boochs

n.A.
<p>Results from two sample projects will be presented, showing possibilities to improve quality and precision of data capture and evaluation.</p><p>One example explains the potential to improve the absolute positional accuracy of a robot guided effector when applying photogrammetric strategies. Need and aims of such a tracking process are explained, followed by a description of actual solutions and their restrictions. Then the potential of photogrammetric solutions for such purposes are outlined, followed by a detailed description of the system developed. Finally, practical tests are shown, underlining that the design and realization are able to hold the challenging aims and improve the absolute accuracy of a robot by a factor of 20.</p><p>In an second example possibilities to evaluate huge data sets are presented. Due to the increasing availability of large unstructured point clouds obtained from laser scanning and/or photogrammetric data, there is a growing demand for automatic processing methods. Given the complexity of the underlying problems, several new methods resort to using semantic knowledge in particular for supporting object detection and classification. A novel approach making use of advanced algorithms is shown, in order to benefit from intelligent knowledge management strategies for the processing of 3D point clouds along with object classification in scanned scenes. In particular, these method extends the use of semantic knowledge to all stages of the processing, including the guidance of the 3D processing algorithms. The complete solution consists in a multi-stage iterative concept based on three factors: the modeled knowledge, the package of algorithms, and the classification engine.</p>

COSCH knowledge schema – an introduction

2014

F Boochs

n.A.









i3mainz - Jahresbericht 2013

2014

F Boochs, Nicole Bruhn, J Wachter

PDF

n.A.









Registrierung von 3D Punktwolken via 2D Korrespondenz fĂĽr ein kombiniertes Messsystem

2014

Mathias Burger, SongĂĽl Polat, Burkhard Tietz, F Boochs

PDF

Oldenburger 3D-Tage
<p>Ein Messsystem, bestehend aus einem 3D-Sensor (z.B. TOF) und einem höher auflösenden 2D-Sensor (RGB- oder Monochromkamera) kombiniert die Echtzeiterfassung von 3D-Geometrien mit der hohen Informationsdichte der Oberflächentextur. Dabei stehen beide Sensoren in einer festen relativen Beziehung zueinander, die sich über Standardmethoden der Photogrammetrie bestimmen lässt. Sie bildet die Grundlage für die rechnerische Übertragung von 2D-Tracking und Merkmalsextraktion auf die 3D-Geometrie. Ziel ist, in Echtzeit, bei sequenzieller 3D-Aufnahme, ein homogenes und rauschreduziertes dreidimensionales Gesamtmodell zu generieren.</p><p>Hohes Rauschen, nicht modellierte Systematiken und frequente Messausfälle verhindern das Funktionieren etablierter Registrierverfahren. Diese, nur auf 3D-Daten basierende Verfahren, berechnen eine Grobregistrierung über homologe 3D-Merkmalspunkte und eine Feinregistrierung über ICP. Im Rahmen der hier vorgestellten Lösung wurden Maßnahmen zur Rauschkompensation und Steigerung der Robustheit konzipiert und entwickelt. Die Registrierung wird aus 2D-Korrespondenzen geschätzt. Dazu werden über Merkmalsoperatoren bestimmte homologe Bildpunkte durch die relative Orientierung mit repräsentativen 3D-Punkten in Verbindung gebracht. Aus den repräsentativen 3D-Punkten wird eine räumliche Transformation geschätzt. Da mit einer Vielzahl von korrespondierenden Punkten geschätzt wird, sind Rauschen und Punktausfälle weniger problematisch. Die Gesamtregistrierung wird zur Steigerung der Robustheit und Genauigkeit über korrespondierende Ebenen vorgenommen. Dazu werden Ebenen im 3D mit einem eigens entwickelten Segmentierungsalgorithmus ermittelt und die Korrespondenz über Ebenen- und Punkthaufenähnlichkeit hergestellt. Die Ebenenregistrierung ist ein flächenbasierter Ansatz, dessen Zuverlässigkeit grundsätzlich gegenüber punktbasierten Ansätzen nicht von Punktvarianz beeinträchtigt wird.</p>

Characterisation of Spatial Techniques for Optimised Use in Cultural Heritage Documentation.

2014

S Wefers, A Karmacharya, F Boochs, Wiemann, A.-K.

Digital Heritage Progress in Cultural Heritage: Documentation, Preservation, and Protection. 5th International Conference, EuroMed 2014 Limassol, Cyprus, November 3-8, 2014 Proceedings
<p>Constant technological progress results in new possibilities to produce reliable and rich spatial data of cultural heritage objects. In order to make optimal use of these capabilities, it is important to identify and name the information required to best serve the reasoning processes in these application fields. Correspondingly it is necessary to know about the characteristics of digitization techniques producing the content adapted to the needs of the applications. Due to the considerable complexity of instruments and processes producing the data, it is helpful to have a clear structure which relates the capabilities of the instruments to the requirements of the applications. This paper addresses this topic and shows a way of structuring spatial techniques as well as how this structure can be related to applications in the field of cultural heritage.</p>

Colour and Space in Cultural Heritage: Key Questions in 3D Optical Documentation of Material Culture for Conservation

2014

F Boochs, Bentkowska-Kafel A., Degrigny Ch., Karaszewski M., Karmacharya A., Kato Z., Picollo M., Sitnik R., Trémeau A., Tsiafaki D., Tamas L.

5th International Conference, EuroMed 2014, Limassol, Cyprus, November 3-8
<div class="abstract-content formatted" itemprop="description"><p class="a-plus-plus">The paper introduces some key interdisciplinary questions concerning the development of optical measuring techniques and electronic imaging applied to documentation and presentation of artefacts, as identified through the work of Colour and Space in Cultural Heritage (www.COSCH.info), a trans-domain European Action (TD1201) in the area of Materials, Physics and Nanosciences (MPNS) supported, since 2013, by the European Cooperation in <a class="reference-link webtrekk-track" href="http://link.springer.com/search?dc.title=Science+and+Technology&amp;facet-content-type=ReferenceWorkEntry&amp;sortOrder=relevance">Science and Technology</a> <span class="a-plus-plus emphasis type-underline">http://www.cost.eu/domains_actions/mpns/Actions/ TD1201</span>. Some 125 international researchers and professionals participate in COSCH activities which have been organised around six main subjects: (1) spectral object documentation; (2) spatial object documentation; (3) algorithms and procedures; (4) analysis and restoration of cultural heritage surfaces and objects; (5) visualisation of cultural heritage objects and its dissemination; and (6) the semantic development of the COSCH Knowledge Representation.</p><p class="a-plus-plus">The Authors outline and illustrate the approaches adopted by COSCH. They indicate future work that is needed to resolve the identified scientific, technical and semantic questions, as well as challenges of interdisciplinary communication, to ensure a wider adoption of specialist technologies and enhanced standards in 3D documentation of material cultural heritage &mdash; being a basis for its understanding, conservation, restoration, long-term preservation, study, presentation and wide dissemination.</p></div><p>&nbsp;</p>

2013

Sketch of an Automatic Image Based Pollen Detection System

2013

G Lozano-Vega, Benezeth, Y., M Uhler, F Boochs, F Marzani

PDF

32. Wissenschaftlich-Technische Jahrestagung der DGPF
We present the sketch of an automatic alternative method for identi-fying and quantifying airborne pollen grains under the framework of a project called Personalized Pollen Profiling and Geospatial Mapping. The first stage of the detection system locates and segments potential pollen particles while re-ducing the dataset size for convenient handling and storing. In the second stage, the proposed classification scheme successively tests different pollen character-istics until the taxon is uniquely identified. Morphological and optical proper-ties of the pollen and image local features are selected based on the study of strengths and weaknesses of the state-of-the-art methods. This scheme allows the system to compute suitable feature vectors to discriminate similar taxa only when necessary, reducing the computational cost.<br>

Semantics – Supportive Element for the Cooperative Evaluation of Geographical and Historical Information

2013

A Karmacharya, T. Kohr, F Boochs, K -C Bruhn, Cruz, Ch.

zfv - Zeitschrift für Geodäsie, Geoinformation und Landmanagement
<p>The emergence of the Semantic Web and its underlying knowledge technologies has brought changes in data handling. Transferring expert knowledge to machines through knowledge formalization provides us the required support in managing huge datasets like the information in the World Wide Web. In the field of geospatial technology semantic technologies not only entail the capability to achieve higher degree of data integration but also infer semantics to discover new and hidden knowledge. This is of particular interest in the field of archaeology, where complex interrelations among heterogeneous datasets exist. Although researches on semantics are active areas in geospatial communities, their initial use is mainly for spatial data integration. This article tries to go one step further and imply semantics for spatial knowledge discovery through spatial built-ins within SWRL and SPARQL. The work resembles the approach of the Open Geospatial Consortium (OGC) to define standards for ­GeoSPARQL.<br></p>

Classification of Pollen Apertures Using Bag of Words

2013

G Lozano-Vega, Benezeth, Yannick, Marzani, Franck, F Boochs, Petrosino, Alfredo

Image Analysis and Processing – ICIAP 2013









Automatic object detection in point clouds based on knowledge guided algorithms

2013

Truong, H. Q., A Karmacharya, Waldemar Kisser, F Boochs, C Chudyk, Habed, A., Voisin, Y.

SPIE Optical Metrology, International Society for Optics and Photonics, 2013
<p>The modeling of real-world scenarios through capturing 3D digital data has been proven applicable in a variety of industrial applications, ranging from security, to robotics and to fields in the medical sciences. These different scenarios, along with variable conditions, present a challenge in discovering flexible appropriate solutions. In this paper, we present a novel approach based on a human cognition model to guide processing. Our method turns traditional data-driven processing into a new strategy based on a semantic knowledge system. Robust and adaptive methods for object extraction and identification are modeled in a knowledge domain, which has been created by purely numerical strategies. The goal of the present work is to select and guide algorithms following adaptive and intelligent manners for detecting objects in point clouds. Results show that our approach succeeded in identifying the objects of interest while using various data types.</p>

Automatic Detection and Classification of Objects in Point Clouds using multi-stage Semantics

2013

Truong, H. Q., Ben Hmida, H., F Boochs, Habed, A., Cruz, Ch., Voisin, Y., Nicolle C Cruz C.

PDF

Journal of photogrammetry, remote sensing and geoinformation processing
<p><span style="line-height: 1.538em;">Due to the increasing availability of large unstructured point clouds obtained from laser scanning and/or photogrammetric data, there is a growing demand for automatic processing methods. Given the complexity of the underlying problems, several new methods try to using semantic knowledge in particular for supporting object detection and classification. In this paper, we present a novel approach which makes use of advanced algorithms to benefit from intelligent knowledge management strategies for the processing of 3D point clouds and for object classification in scanned scenes. In particular, our method extends the use of semantic knowledge to all stages of the processing, including the guidance of the 3D processing algorithms. The complete solution consists in a multi-stage iterative concept based on three factors: the modelled knowledge, the package of algorithms, and the classification engine. Two case studies illustrating our approach are presented in this paper. The studies were carried out on scans of the waiting area of an airport and along the tracks of a railway. In both cases the goal was to detect and identify objects within a defined area. With our results we demonstrate the applicability of our approach.</span></p><p>&nbsp;</p><p><span style="line-height: 1.538em;">Automatische Detektion und Klassifikation von Objekten in Punktwolken unter Nutzung mehrschichtiger Semantik. Infolge der zunehmenden Verfügbarkeit großer unstrukturierter Punktwolken aus Laserscanning und Photogrammetrie entsteht wachsender Bedarf für automatisierte Auswerteverfahren. Angesichts der häufig hohen Komplexität der in den Punktwolken enthaltenen Objekte stoßen rein datengetriebene Ansätze an ihre Grenzen. Es entstehen vermehrt Konzepte, die auf verschiedene Weise auch Gebrauch von der Semantik machen. Semantik und Algorithmik sind dabei oft eng miteinander verwoben und führen zu Limitationen in Art und Umfang der nutzbaren Semantik. Mit der vorgestellten Lösung werden Algorithmik und Semantik klar getrennt und mit den exakt auf diese Domänen zugeschnittenen Werkzeugen behandelt. Deren prozedurale Verknüpfung führt dann zu einem neuen Verarbeitungskonzept, das eine nach unserem Kenntnisstand bislang nicht erreichte Flexibilität und Vielseitigkeit in der Nutzung unterschiedlichster Semantiken besitzt und auch die Steuerung der Algorithmen integriert. Die iterative Gesamtlösung fußt auf drei Säulen, nämlich dem modellierten Wissen, dem Pool der Algorithmen und dem Identifikationsprozess. Erreichbare Resultate werden an zwei Beispielen dokumentiert. Ein Beispiel befasst sich mit der Analyse von Punktwolken aus dem Bereich der Lichtraumvermessung an Bahntrassen, das zweite mit Räumlichkeiten in einem Flughafen. In beiden Fällen müssen bestimmte Objektarten aufgefunden und klassifiziert werden.</span></p>

2012

A knowledge-based approach to the automatic algorithm selection for 3D scene annotation

2012

Truong, H. Q., F Boochs, Habed, A., Voisin, Y.

11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) IEEE
<p>In this paper we present a novel approach for 3D point cloud processing with the aim of annotating objects in a scanned scene. Our method is based on human cognition to guide the 3D processing algorithms and uses semantic knowledge to manage data and identify immediate situation-dependent objectives. In particular, we have built a system that allows an automatic and flexible selection of algorithms. The selection strategy exploits knowledge to identify the geometrical features to be detected as well as the objects to be annotated at each stage of the 3D processing of the point cloud.</p>

Spatialization of the Semantic Web

2012

F Boochs, A Karmacharya, C Cruz, Muhammad Tanvir Afzal

PDF

Advances in Theories and Mathematical Models
<p>The abstraction of the real world melds the semantics of its objects with the spatial characteristics seamlessly. This is visible in a way the human perceives the real world where it is often difficult to pin point the spatial characteristics of the objects from their semantics. In other words the spatial characteristics are generally hidden with the semantics of the objects. As for example, describing relations of objects the terms near, far or touching are often used which are spatial relations but in general considered as semantic properties which is not true. Hence, it is a trend to consider that the spatial behaviors of objects are parts of its semantics. Similar approaches where the spatial properties are considered as part of semantics have been translated in technical advancements made by the technologies. There is a general trend to mix up spatial components in the semantics or the semantics in the spatial components within technologies. For instance, a classic GIS ignores semantics of objects to focus on the spatial components whereas a non GIS uses spatial components as the semantic parameters of the objects. As the technology is getting matured, it is moving closer to the human perception of the real world. Today, the knowledge management is being researched in real sense to model and to manage knowledge possessed by humans which is basically the perception of the real world.</p>

From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach

2012

F Boochs, Ben Hmida, H., C Cruz, C Nicolle, Muhammad Tanvir Afzal

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Semantics - Advances in Theories and Mathematical Models
<p>Over the last few years, formal ontologies has been suggested as a solution for several engineer problems, since it can efficiently replace standard data bases and relational one with more flexibility and reliability. In fact, well designed ontologies own lots of positive aspects, like those related to defining a controlled vocabulary of terms, inheriting and extending existing terms, declaring a relationship between terms, and inferring relationships by reasoning on existent ones. Ontologies are used to represent formally the knowledge of a domain where the basic idea was to present knowledge using graphs and logical structure to make computers able to understand and process it, (Boochs, et al., 2011). As most recent works, the tendency related to the use of semantic has been explored, (Ben Hmida, et al., 2010) (Hajian, et al., 2009) (Whiting, 2006) where the automatic data extraction from 3D point clouds presents one of the new challenges, especially for map updating, passenger safety and security improvements. However such domain is characterized by a specific vocabulary containing different type of object. In fact, the assumption that knowledge will help the improvement of the automation, the accuracy and the result quality is shared by specialists of the point cloud processing.</p>

i3mainz - Jahresbericht 2012

2012

F Boochs, Gundlach, A., J Wachter

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i3mainz - Jahresbericht
<div>Derzeit sind neben neun Professoren am Institut mehr als zwanzig wissenschaftliche Mitarbeiterinnen und Mitarbeiter mit Zeitverträgen angestellt. Neben ihnen sind Studierende mit ihren Abschlussarbeiten, Praktikanten und studentische Mitarbeiterinnen und Mitarbeiter in die Arbeit des Instituts eingebunden.</div><div>Im Jahr 2012 standen Mittel im Gesamtumfang von 1,28 Mio Euro zur Verfügung. Dazu zählten Mittel der FH Mainz, des Landes, öffentlicher Förderprogramme, der Europäischen Union und Drittmittel aus der Wirtschaft.&nbsp;</div>

2011

Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

2011

F Boochs, Ben Hmida, H., Nicolle C Cruz C.

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International Journal on Advances in Intelligent Systems
<p>This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist&rsquo;s knowledge. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. This knowledge is used to define SWRL detection rules. In addition, the combination of 3D processing built-ins and topological Built-Ins in SWRL rules will allows more flexible and intelligent detection, and the annotation of objects contained in 3D point clouds. The created WiDOP prototype takes a set of 3D point clouds as input, and produces as output a populated ontology corresponding to an indexed scene visualized within VRML language. The context of the study is the detection of railway objects materialized within the Deutsche Bahn scene such as signals, technical cupboards, electric poles, etc. Thus, the resulting enriched and populated ontology, that contains the annotations of objects in the point clouds, is used to feed a GIS system or an IFC file for architecture purposes.</p>