14:00-15:00 |
Innovative topics related to the current and future implementation, use, development and exploitation of the EU CH Identity Card |
DEMETRA Room |
54 |
Identity Card of Cultural Heritage: How to Collect and Organize Data |
Roko Žarnić1, Vlatka Rajčić2, Antonia Moropoulou3 |
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| 1University of Ljubljana, Faculty of Civil and Geodetic Engineering,Jamova 2, 1000 Ljubljana, Sloveniaroko.zarnic@fgg.uni-lj.si2University of Zagreb, Faculty of Civil Engineering,Kačićeva 26, 10000 Zagreb, Croatiavrajcic@grad.hr3National Technical University of Athens, School of Chemical Engineering,9 Iroon Polytechniou Str., 17773 Athens, Greece.amoropul@central.ntua.gr The paper presents the basic idea and content of unified approach to collecting and organizing data on cultural heritage assets in order to use them in processes of decision-making related to its preservation. This presented outline of the content and philosophy behind the European Cultural Heritage Identity Card gives some information on the proposed methodology for the collection, presentation and application of data required for the informed understanding of particular heritage buildings or assets. Combined, on the one hand the EU-CHIC structure may be used as a powerful mechanism for generating relevant data as a processing tool for the permanent maintenance and economical exploitation of heritage, and of its retention, protection and preservation on the other. |
18 |
An enhanced distributed Repository for working with 3D Assets in Cultural Heritage |
Xueming Pan1, Thomas Schiffer1, Martin Schröttner1, René Berndt2, Martin Hecher2,Sven Havemann1, Dieter W. Fellner1,3 |
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| 1Institute of Computer Graphic and Knowledge Visualization,Graz University of Technology, 8010 Graz, Austria{x.pan, t.schiffer, s.havemann}@cgv.tugraz.at2Fraunhofer Austria Research GmbH, Visual Computing, 8010 Graz, Austria{Rene.Berndt, Martin.Hecher}@vc.fraunhofer.at3GRIS, TU Darmstadt &Fraunhofer IGD, 64283 Darmstadt, Germany The development of a European market for digital cultural heritage assets is impeded by the lack of a suitable marketplace, i.e., a commonly accepted distributed exchange platform for digital assets. We have developed such a platform over the last two years, a centralized content management system with distributed storage capability and semantic query functionality. It supports the complete pipeline from data acquisition (photo, 3D scan) over processing (cleaning, hole filling) to interactive presentation, and allows collecting a complete process description (paradata) alongside. In this paper we present the components of the system and explain their interplay. Furthermore, we present and explain which functional components, from transactions to permission management, are needed to operate the system. Finally, we prove the suitability of the API and present a few software applications that use it. |
44 |
A Contribution to a Unified Approach in Policy Making through Documenting Cultural Heritage |
Barbara Vodopivec1, Rand Eppich2, Ingval Maxwell3, Alessandra Gandini2Roko Žarnić1 |
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| 1University of Ljubljana, Faculty of Civil and Geodetic Engineering, Jamova 2, SI-1000 Ljubljanabarbara.vodopivec@fgg.uni-lj.si; roko.zarnic@fgg.uni-lj.si2 Fundación Tecnalia, Research & Innovation, Spainrand.eppich@tecnalia.com; alessandra.gandini@tecnalia.com3Consultant in Architectural Conservation, Edinburgh, EH9 3AN, Scotlandingval@blueyonder.co.uk The paper presents the results of an interdisciplinary research project, bridging technical sciences and the humanities, with the purpose of conducting research, exploring arguments and options for the potential of a unified data management system in the European area. Recognizing the ambitiousness of such a project, the primarily intention is to provide well founded arguments to explore the implementation of a unified pan-European approach to cultural heritage data management; including the collection, presentation and storage of tangible and intangible material data on each location under observation. |
15:30-17:30 |
Virtual Reality in Archaeology and Historical Research |
Aphrodite and Posidon Rooms |
22 |
3D Heritage on mobile devices: future scenarios and opportunities |
Karina Rodriguez Echavarria, Jaime Kaminski, David Arnold |
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| Cultural Informatics Research Group, University of Brighton, Moulsecoomb, BN2 4GJ{K.Rodriguez, J.Kaminski, D.B.Arnold}@brighton.ac.uk The cultural heritage sector’s interest in mobile and 3D technologies has increased in recent years. This is partly because heritage organisations have a large amount of compelling content – much of which simply cannot be displayed in physical museums and other venues because of space constraints. Consequently, mobile technology represents an exceptional opportunity for the sector to offer innovative approaches for individuals to interact with cultural heritage assets. This paper presents visions for exploiting 3D mobile technologies in the cultural heritage sector by employing a use-inspired basic research approach based on hypothetical scenarios. These scenarios focus on different fields such as archaeology, preservation, education and tourism. Moreover, the paper examines the opportunities required to address the challenges in several research areas, including 3D technology, semantically linked data, crowdsourcing as well as privacy and copyright. Finally, the paper acknowledges the challenges involved on ensuring the business sustainability of these innovative applications. |
6 |
REVIVING ANCIENT ROME: VIRTUAL REALITY AT THE SERVICE OF CULTURAL HERITAGE |
Philippe Fleury and Sophie Madeleine |
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| Équipe de Recherchesur les Langues, les Imaginaires et les Sociétés (ERLIS),axe ERSAM, groupe “Plan de Rome”Centre Interdisciplinaire de Réalité Virtuelle (CIREVE)University of Caen Basse-Normandie, Esplanade de la Paix, MRSH,14032 Caen cedex 5, Francephilippe.fleury@unicaen.fr- sophie.madeleine@unicaen.fr Since the Renaissance, the remains, myths and visual representations of ancient Rome have influenced not only European culture but also the architecture and urban planning of the big cities of Europe and of the Americas through the process of colonization. The University of Caen Basse-Normandie (France) has a famous visual representation of ancient Rome in the scale model of Paul Bigot, a French architect who lived at the beginning of the 20th century. This exceptional part of our cultural heritage has been the pretext for a virtual reconstruction of ancient Rome. The technologies used and, in particular, the interactive visit with access to ancient source materials give a new life to the myth. Our team has developed a fully interactive model of ancient Rome which allows a visitor to move freely in a full-scale city and enter the main public buildings as well as some private apartments. The aim is both scientific and didactic. Scholars can use the model as a regularly updated database for reference and possible experiments. The general public can visualize a world that is now beyond their reach. This paper will focus on a particular example |
45 |
Virtual Reconstructions in a Desktop Planetarium for Demonstrations in Cultural Astronomy |
Georg Zotti1,2 and Wolfgang Neubauer2,1 |
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| 1Vienna Institute for Archaeological ScienceFranz Klein-Gasse 1/III, 1190 Vienna, Austria2Ludwig Boltzmann Institute for Archaeological Prospection and Virtual ArchaeologyHohe Warte 38, 1190 Vienna, Austria{Georg.Zotti, Wolfgang.Neubauer}@univie.ac.at Many cultures throughout history have erected sacred and profane buildings orientated according to astronomical principles. A new plugin for the open-source desktop planetarium Stellarium allows the demonstration and inter¬active exploration of such buildings. |
57 |
Augmented reality for archaeological finds |
Belén Jiménez Fernández-Palacios, Alessandro Rizzi, Francesco Nex |
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| 3D Optical Metrology Unit, Fondazione Bruno Kessler,Via Sommarive 18, Trento, Italy{bjfernandez, rizziale, franex}@fbk.eu Augmented Reality (AR) has become a suitable solution for visualization purposes in several applications such as gaming, entertainment or simple visualization. In contrast, only very few applications considers the use of AR for professional and scientific purposes as their use must be adapted to different applications and specific goals. In this paper, the use of Augmented Reality is applied to archaeological objects visualization. An ad hoc cube device and a 3D Studio Max plug-in have been realized for automatically process 3D complex objects models and visualize them with AR open source software. The developed methodology is described in detail and tests on real archaeological objects are reported and commented. |
73 |
Virtual Heritage: Exploring Photorealism |
Hafizur Rahaman1, Rana Das2, Shehzad Zahir2 |
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| 1Department of Architecture, National University of Singapore,4 Architecture Drive, Singapore 117566hafizur@nus.edu.sg2Department of Architecture, Ahsanullah University of Science and Technology,Dhaka-1208, Bangladesh. One of the main purposes of virtual heritage (VH) is to disseminate the cultural and historic knowledge to end-users. However, in many cases VH projects are motivated towards demonstrating the technical artistry and the power of new technology to attain a certain degree of ‘visual fidelity’ and accuracy in representation of historical environments. Built heritage is not just the ‘form’ but inherits different layers of meanings, which cannot be understood by only watching ‘photorealistic’ representation; instead it requires proper interpretation of ‘place’. The paper highlights end-users as an interpreter and emphasizes their unique cultural background to consider in the interpretive process. As a methodology, ‘interpretation’ is first conceptualized. Notions in ‘photo-realism’, end-users’ engagement, cognition and interpretation is explored by reviewing present discourses. This paper finally urges for a comprehensive interpretive method for VH to prioritize end-users understanding while leaving some open ended questions for future investigation. |
42 |
Virtual Architectural 3D Model of the Imperial Cathedral (Kaiserdom) of Königslutter, Germany through Terrestrial Laser Scanning |
Thomas P. Kersten and Maren Lindstaedt |
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| Hafen City University Hamburg, Photogrammetry & Laser Scanning Lab,Hebebrandstr. 1, 22297 Hamburg, Germany{Thomas.Kersten, Maren.Lindstaedt}@hcu-hamburg.de The imperial cathedral (Kaiserdom) of Königslutter, Germany, is one of the most important examples of Romanesque architecture north of the Alps. In April 2010 complex conservation and restoration works were finished to celebrate the 875th anniversary of the laying of the cathedral’s foundation stone. The imposing structure of the cathedral was recorded internally and externally in 3D using terrestrial laser scanning in January and June 2010 as part of a student project at the HafenCity University Hamburg. The goal of the project was the 3D CAD construction of the cathedral using laser scanning point clouds to derive both a virtual and physical (replica) 3D model for the documentation and visualisation of the building. Furthermore, a virtual tour around and through the cathedral was generated from spherical panorama photographs, which were acquired from several camera stations surrounding and inside the building. |
15:30-17:30 |
2D and 3D GIS in Cultural Heritage |
DEMETRA Room |
58 |
On-line Spectral Learning in Exploring 3D Large Scale Geo-referred Scenes |
Nikolaos Doulamis1, Christos Yiakoumettis2 and George Miaoulis2 |
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| 1Decision Support and Computer Vision Lab., Technical University of Crete, University Campus,Kounoudiana, 73100, Chania, Crete, Greece{ndoulam@cs.ntua.gr}2Technological Educational Insititute of Athens,Ag.Spyridonos Str. 12243, Egaleo, Athens{christos@yiakoumettis.gr, gmiaoul@hol.gr} Personalized navigation of 3D large scale geo-referred scenes has a tremendous impact in digital cultural heritage. This is a result of the recent progress in digitization technology which leads to the creation of massive digital geographic libraries. However, an efficient personalized 3D geo-referred architecture requires intelligent and on-line learning strategies able to dynamically capture user’s preferences dynamics. In this paper, we propose an adaptive spectral learning framework towards 3D navigation of geo-referred scenes. Spectral clustering presents advantages compared to traditional center-based partitioning methods, such as the k-means; it effectively categorize non-Gaussian, complex distributions, present invariability to shapes and densities and it does not depend on the similarity metric used since learning is performed through similarity matrices by exploiting pair-wise comparisons. The main difficulty, however, in incorporating spectral learning in a 3D navigation architecture is its static implementation. To handle this difficulty, we propose in this paper an adaptive framework through the use of adaptive spectral learning which tailors 3D navigation to user’s current needs. |
25 |
An Information System for Medieval Archaeology based on photogrammetry and archaeological database: the Shawbak Castle Project |
Pierre Drap1, Djamal Merad1, Julien Seinturier1, Jean-Marc Boï1, Daniela Peloso1,Guido Vannini2, Michele Nucciotti2, Elisa Pruno2 |
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| 1LSIS umr CNRS 6168, Centre National de la Recherche Scientifique, Marseille, Francename.surname@univ-amu.fr2Dipartimento di Studi Storici e Geografici dell' Università degli Studi di Firenze, Florence, Italy.guido.vannini@unifi.it, nucciotti@unifi.it, elisa.pruno@unifi.it The paper presents an interdisciplinary project which is a work in progress towards a 3D Geographical Information System (GIS) dedicated to Cultural Heritage with a specific focus application on the Castle of Shawbak, one of the best preserved rural medieval settlements in the entire Middle East). The Shawbak archaeological project is a specific and integrated project between medieval archaeological research and computer vision done thanks to a long cooperation between University of Florence and CNRS, LSIS, Marseille. Focusing mainly on stratigraphical analysis of upstanding structures we provide archaeologists with two-step pipeline. First a survey process using photogrammetry, both in a traditional way with additional annotations and using the most advanced technique to obtain dense maps and then a tool for statistical analysis. Two main applications are presented here, stratigraphy analysis with Harris matrix computed on the fly from the 3D viewer and statistical tools, clustering operation on ashlar in order to show new relationships between the measured artifacts.All these developments are written in Java within Arpenteur framework. |
53 |
Towards an Archaeological Index: Identification of the Spectral Regions of Stress Vegetation due to Buried Archaeological Remains |
Athos Agapiou1, Diofantos G. Hadjimitsis1, Andreas Georgopoulos2, Apostolos Sarris3 and Dimitrios D. Alexakis1 |
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| 1Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, 3603, Limassol, Cyprus{athos.agapiou, d.hadjimitsis, dimitrios.alexakis}@cut.ac.cy2Laboratory of Photogrammetry, School of Rural & Surveying Engineering, NTUA, Greecedrag@central.ntua.gr3Laboratory of Geophysical - Satellite Remote Sensing and Archaeo-environment, Institute for Mediterranean Studies,Foundation for Research & Technology, Hellas (F.O.R.T.H.), 74100, Rethymno, Crete, Greeceasaris@ret.forthnet.gr This paper aims to introduce the spectral characteristics of a new Archaeological Index for supporting remote sensing applications in archaeological research. This index will be able to enhance crop marks, observed in satellite images, which are related to buried archaeological remains. For the aims of the research, ground spectral signatures were acquired from two agricultural areas of Cyprus (Alampra and Acheleia), specifically constructed in order to simulate buried archaeological remains. A complete phenological cycle of barley and wheat crops was recorded using the GER 1500 spectroradiometer with spectral range from 350 – 1050 nm (visible – near infrared spectrum). Correlation regression analysis and evaluation separability indices have shown that results are similar for both sites –regardless crop type. The spectral sensitivity, for enhancement crop marks, was detected at the red edge and near infrared spectrum (≈ 700 and ≈ 800 nm). |
13 |
Historical Social Housing: Smart Analysis and Design for Conservation and Energy Regeneration |
Elena Gigliarelli1, Donato Carlea2,1, Angela Corcella2, Heleni Porfyriou3 |
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| 1National Council of Research CNR, Institute for Technologies Applied to Cultural Heritage,ITABC Via Salaria km. 29.300, 00016 Monterotondo, Italy2Sapienza University, Faculty of Architecture,Via Gramsci, 53 00197 Rome, Italy3National Council of Research CNR, Institute for the Conservation and Valorization of Cultural Heritage,ICVBC, Via Salaria km. 29.300, 00016 Monterotondo, Italyelena.gigliarelli@itabc.cnr.it,donato@carlea.net, angela-corcella@hotmail.it, porfyriou@icvbc.cnr.it The article presents the results of a methodological study aimed at the development of an integrated, intelligent and expeditious system for the understanding, evaluation, and upgrading of energy efficiency in historical urban social housing neighborhood’s. The possibilities offered by GIS and ICT systems were explored for the analysis and planning of building and energy improvements. The purpose of the study was to provide a support tool for upgrade projects planned for social housing which would include the multiple variables necessary for an understanding of the transformation process which led to the current state of the buildings, and which would be able to provide alternatives and solutions for their regeneration. |
17:45-19:30 |
Digital Data Acquisition Technologies and Data Processing in Cultural Heritage |
DEMETRA Room |
43 |
Image-Based Low Cost Systems for Automatic 3D Recording and Modelling of Archaeological Finds and Objects |
Thomas P. Kersten and Maren Lindstaedt |
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| Hafen City University Hamburg, Photogrammetry & Laser Scanning Lab,Hebebrandstr. 1, 22297 Hamburg, Germany{Thomas.Kersten, Maren.Lindstaedt}@hcu-hamburg.de In most cases archaeological finds and objects remain in the country of origin. Thus, for potential users away from that location, 3D models of archaeological finds and objects form an increasingly important resource since they can be analysed and visualised in efficient databases using web-based tools over the Internet. Since typical 3D recording technologies for archaeological objects, such as terrestrial laser scanning or fringe projection systems, are still expensive, cumbersome, inconvenient, and often require expert knowledge, camera-based systems offer a cost-effective, simple and flexible alternative that can be immediately implemented. This paper will demonstrate how the geometry and texture of archaeological finds and objects can be automatically constructed, modelled and visualized from digital imagery using freely-available open-source software or web services. The results of several objects derived from different tested software packages and/or services are compared with reference data in order to analyse the accuracy and reliability of such objects. |
78 |
Photogrammetric Point Cloud Collection with Multi-Camera Systems |
Dieter Fritsch, Mohammed Abdel-Wahab, Alessandro Cefalu, Konrad Wenzel |
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| Institute for Photogrammetry (ifp), University of Stuttgart,Geschwister-Scholl-Str. 24D 70174 Stuttgart, Germany{dieter.fritsch, mohammed.othman, alessandro.cefalu, konrad.wenzel}@ifp.uni-stuttgart.de We present an efficient method for the recording of 3D point clouds using a compact handheld camera rig and an automated software pipeline for an accurate surface reconstruction. Multiple industrial cameras are mounted on a rectangular shaped frame with a size of 15cm by 15cm in order to collect images from multiple views at once. By using the presented software pipeline, one dense 3D point cloud can be computed efficiently for each shot. The system is particularly designed for close range cultural heritage applications, where the requirements regarding accuracy, density but also acquisition efficiency are high. For each shot up to 3.5 Mio. 3D points can be derived. An area of 60cm by 50cm is covered at a distance of 70cm. Depending on distance and surface texturethe points reach a precision of up to 0.2mm. Within this paper, we will present the system design, the data acquisition process, the automatic orientation/registration approach and the dense surface reconstruction method. Finally, we will demonstrate results for an example covering a large scale cultural heritage project, where 2 billion 3D points were acquired efficiently with sub-mm accuracy. |
47 |
Prospecting archaeological landscapes |
Immo Trinks1, Wolfgang Neubauer1,2 and Michael Doneus3,2,1 |
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| 1Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology, Hohe Warte 38, 1190 Vienna, Austria2Vienna Institute for Archaeological Science, Vienna University, Franz-Klein-Gasse 1/III, 1190 Vienna, Austria3Institute for Prehistory and Early Medieval History, University of Vienna, Franz Klein-Gasse 1/III, 1190 Vienna, Austria {Immo.Trinks, Wolfgang.Neubauer, Michael.Doneus}@archpro.lbg.ac.at The future demands on professional archaeological prospection will be its ability to cover large areas in a time and cost efficient manner with very high spatial resolution and accuracy. The objective of the 2010 in Vienna established Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology in collaboration with its nine European partner organizations is the advancement of the state-of-the-art by focusing on the development of remote sensing, geophysical prospection and virtual reality applications, as well as of novel integrated interpretation approaches dedicated to non-invasive spatial archaeology combining cutting-edge near-surface prospection methods with advanced computer science. Within the institute's research program different areas for distinct case studies in Austria, Germany, Norway, Sweden and the UK have been selected as basis for the development and testing of new concepts for efficient and universally applicable tools for spatial, non-invasive archaeology. The collective resources and expertise available amongst the new research institute and associated partners permit innovative approaches to the archaeological exploration, documentation and investigation of the cultural heritage contained in entire archaeological landscapes. First promising results illustrate the potential of the proposed methodology and concepts. |
65 |
Multispectral Image Acquisition of Ancient Manuscripts |
Fabian Hollaus, Melanie Gau and Robert Sablatnig* |
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| Computer Vision Lab Vienna,University of Technology, Vienna, Austria{holl,mgau,sab}@caa.tuwien.ac.at This paper presents image acquisition and readability enhancement techniques based on multispectral imaging. In an interdisci- plinary manuscript and palimpsestre search project an imaging system using a combination of LED illumination and spectral filtering was developed. On basis of the resulting multispectral image information the readability of the texts is enhanced and palimpsest texts are made visible by applying two different methods of Blind Source Separation, namely Principal Component Analysis and Independent Component Analysis. |
79 |
Low-cost and open-source solutions for automated image orientation – a critical overview |
Fabio Remondino1, Silvio Del Pizzo2, Thomas Kersten3, Salvatore Troisi2 |
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| 13D Optical Metrology (3DOM), Bruno Kessler Foundation (FBK), Trento, Italyremondino@fbk.eu, http://3dom.fbk.eu2Parthenope University of Naples, Dept. of Applied Science, Naples, Italy@uniparthenope.it3Photogrammetry & Laser Scanning Lab, HafenCity University Hamburg, Germanythomas.kersten@hcu-hamburg.de, http://www.hcu-hamburg.de/geomatik/kersten The recent developments in automated image processing for 3D reconstruction purposes have led to the diffusion of low-cost and open-source solutions which can be nowadays used by everyone to produce 3D models. The level of automation is so high that many solutions are black-boxes with poor repeatability and low reliability. The article presents an investigation of automated image orientation packages in order to clarify potentialities and performances when dealing with large and complex datasets. |