Digital Silk Road: Digital Humanities Approach to Spatial Documentation of Cultural Heritage
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1 Digital Silk Road: Digital Humanities Approach to Spatial Documentation of Cultural Heritage Asanobu KITAMOTO National Institute of Informatics / SOKENDAI
2 2014/02/23 Bam 10th Anniversary 2 Digital Silk Road Project Started in Digital Humanities: Collaborative work among informatics + humanities scholars. Databases and digital resources are publicly accessible on the Web.
3 2014/02/23 Bam 10th Anniversary 3 Digital Humanities Traditional Humanities (little collaboration) Text, image, etc. Digitization Annotation Evaluation Digital Archives Human reading Humanities Scholars problem Collaboration methodology Computer Scientists Machine reading Digital Tools Methodological Commons
4 2014/02/23 Bam 10th Anniversary 4 Toyo Bunko Rare Books Digitization of 203 books, pages. Collection of relevant academic references. Manual input of captions and TOCs. OCR for full-text search (with errors).
5 2014/02/23 Bam 10th Anniversary 5 Dealing with Many Types of Data Text Map Photograph Gazetteer
6 2014/02/23 Bam 10th Anniversary 6 Linking Entities Across Sources Textual criticism Textual source A Place name S? Textual criticism Textual source B Place name T Place name U Geographic And Visual Relationship Data Source C, D, E Data criticism Place name V
7 Registration of Maps Geometric Correction Interactive Georeferencing Map 1 Map 2 Map 1 Map 2 A A B D C B A D A D D C A D B C C Register B B C All points are registered. Shapes are distorted. Single point is registered (but no other points). Shapes are not distorted. 2014/02/23 Bam 10th Anniversary 7
8 2014/02/23 Bam 10th Anniversary 8 Qianlong Map (Beijing)
9 2014/02/23 Bam 10th Anniversary 9 Massive Geometric Correction Huge size = W 13 m x H 14 m Many sheets = 203 sheets in total Massive pixels = 29 billion pixels Control points + lines: We proposed a new geometric correction.
10 2014/02/23 Bam 10th Anniversary 10 Aurel Stein Maps (Silk Road) Stein s map Innermost Asia was registered and displayed on Google Earth satellite images.
11 2014/02/23 Bam 10th Anniversary 11 Problem of Missing Ruins Missing Ruins Yārkhoto Bezeklik Kara-khōja Toyuk Sirkip Chong-hassār, Kichik-hassār Lukchun Oi-tam, ruined fort Bögan-tura Buluyuk ( Shipang, Sassik-bulak, Kazma ) Murtuk-ruins Yoghan-tura Chikkan-köl Bedaulat s town, Bēsh-kāwuk, Kosh-gumbaz Yutōgh
12 2014/02/23 Bam 10th Anniversary 12 Different Conceptualization Ruin A in X Ruin E in Y Ruin C in Y Ruin D in Y Ruin B in X
13 2014/02/23 Bam 10th Anniversary 13 Sven Hedin Maps Sven Hedin ( ) explored Persia and Central Asia. His map (1920s) was digitized and geo-referenced. Overlay on satellite images.
14 2014/02/23 Bam 10th Anniversary 14 Sven Hedin Maps (Iran)
15 2014/02/23 Bam 10th Anniversary 15 Sven Hedin Maps (Tehran)
16 2014/02/23 Bam 10th Anniversary 16 Sven Hedin Maps (Bam)
17 2014/02/23 Bam 10th Anniversary 17 Aurel Stein s Visit to Bam in 1930s More interesting was a visit to large Arq of Bam. Once considered as the strongest fortress of Persia. Since its abandonment in the last century it is slowly crumbling to ruins. Archaeological Reconnaissances in North-Western India and South-Eastern Īrān : vol.1
18 2014/02/23 Bam 10th Anniversary 18 December 26, 2003
19 2014/02/23 Bam 10th Anniversary 19 Project History December 31, 2003 January 2004 April June, 2006 December 26, 2008
20 2014/02/23 Bam 10th Anniversary 20 Collaborators Dr. Elham Andaroodi Prof. Alireza Einifar Mr. Saeed Einifar (Razahang) Dr. Mohammad Reza Matini Leading the 3D CG reconstruction of Bam in terms collection and management of data, supervision of CG rendering teams, and the design of metadata-based ontology. Directing 3D CG drawing and modeling of buildings of the Citadel of Bam Conducting 3D CG drawing and Modeling of buildings of the Citadel of Bam Correcting, evaluating and completing 3D models, development of CAD-based 3D drawing.
21 2014/02/23 Bam 10th Anniversary 21 Project Framework Architectural Process Conceptual Process Museum exhibition Multimedia Rendering Website Physical reconstruction In the future Wireframe Modeling Ontology Heterogeneous data archives Cyber world After the disaster Voluntary data collection Institutional data collection Physical world
22 2014/02/23 Bam 10th Anniversary 22 Architectural Process High Accurate Manual Moderate Original image: Digital Globe Low Inaccurate Automatic Good balance between accuracy and cost
23 2014/02/23 Bam 10th Anniversary 23 Collaboration of Experts 1 st Phase (bad) 2 nd Phase (good) Domain Experts Instruct Check Domain Experts Create Modeling Create Rendering Create Modeling Rendering Transfer Create Computer Experts Computer Experts
24 2014/02/23 Bam 10th Anniversary 24 Modular Design Domain experts (e.g. architects) focus on the accuracy of models. Computer experts (e.g. CG engineers) focus on the appearance of rendered outputs. Separation of modeling and rendering made the architectural process more efficient. Modular design and the division of roles.
25 2014/02/23 Bam 10th Anniversary 25 Semi-Automatic Modeling Photogrammetric Map From CNRS and ICHHTO Photographs From experts and tourists Overlay Structure Simple 3D Model Texture Work by Mr. Natchapon Futragoon
26 2014/02/23 Bam 10th Anniversary 26 Workflow
27 2014/02/23 Bam 10th Anniversary 27
28 2014/02/23 Bam 10th Anniversary 28 Automatic Modeling Laser scanning Image: Wikipedia Structure from Motion Image: Building Rome in a Day New data cannot be measured for post-disaster reconstruction
29 2014/02/23 Bam 10th Anniversary 29 Multiple Images and Videos Using point correspondences and projective geometry fails due to the lack of photographs, variety of cameras, and temporal change due to renovation. 7-minute video taken from a helicopter by NHK in 1981 has potential for the automatic reconstruction of a 3D model, but not yet completed. Work by Mr. Tiago da Silva
30 2014/02/23 Bam 10th Anniversary 30 Project Framework Architectural Process Conceptual Process Museum exhibition Multimedia Rendering Website Physical reconstruction In the future Wireframe Modeling Ontology Heterogeneous data archives Cyber world After the disaster Voluntary data collection Institutional data collection Physical world
31 2014/02/23 Bam 10th Anniversary 31 Conceptual Process We also need the modeling of knowledge for the heterogeneous data archives. Ontology uses classes, attributes, and relationships to define conceptualization. How to render the ontology?
32 2014/02/23 Bam 10th Anniversary 32 Bam3DCG Website
33 2014/02/23 Bam 10th Anniversary 33 Ontology Rendering System
34 Documentation and Disasters Pre-disaster documentation Everything can be measured precisely, uniformly, repeatedly. Created data is mainly for academic communities. Post-disaster documentation Available data is not sufficient, but we need to accept the situation. Created data is also monumental for local communities to revive memories. 2014/02/23 Bam 10th Anniversary 34
35 2014/02/23 Bam 10th Anniversary 35 East Japan Earthquake on 2011
36 2014/02/23 Bam 10th Anniversary 36 Tsunami of 10m+ Heights
37 2014/02/23 Bam 10th Anniversary 37 Radiation Monitoring
38 2014/02/23 Bam 10th Anniversary 38 Japan-Iran International Collaboration We can share the experiences of earthquakes, and this is why I proposed Bam Project. Japan is contributing to Iran in terms of earthquake preparedness and recovery. Recovery is not only about physical reconstruction, but also about psychological reconstruction of memory in the community. Bam Project will help you keeping memories.
39 2014/02/23 Bam 10th Anniversary 39 Acknowledgment 3D CG reconstruction of the Citadel of Bam is a collaborative research project between the Digital Silk Road project of NII and Iranian Cultural Heritage, Handicraft and Tourism Organization (ICHHTO), The University of Tehran, and Razahang Architectural Office. The 3D photogrammetric material is provided to NII by Professor Chahryar ADLE from CNRS and ICHHTO. We thank Mr. Tomohiro Ikezaki for implementing the Bam3DCG website generation system. We also thank students who worked for Bam Project at Kitamoto Lab during the NII internship program, namely Tiago da Silva, Natchapon Futragoon, and Xinling Chen.
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