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Proceedings Paper

Historical relics visualization by fusing terrestrial laser point-clouds and aerial orthophoto
Author(s): Li Yan; Xu Zhao; Xin Xiang; Tie Ding Lu; Xue Feng Yi
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Paper Abstract

There are many large-scale historical relics in China's stone-desert district, all this sorts relics are threatening by wind deflation. For documenting the cultural heritage in detail and avoiding a long working time in formidable desert conditions, we need an accurate and fast way to record the relics' 3D information. Laser scanners offer various applications on conservation of cultural heritage in recent years, such as static surveying, precise modeling and visualization for data acquiring purpose. Point clouds generated by terrestrial laser scanner and aerial image both are valuable data sources for the reconstruction of objects'3D models. This study exploits an approach for recording relic's datum by long-range terrestrial laser scanner (Optech ILRIS-3D) and fusing the scan data with gray information for visualization tasks. As a result of obtaining full scene needs several scans, we transform every scan individually into one global reference frame for decreasing the accumulative errors of point-clouds registration of common ICP approaches, and build 3D point-clouds model of historical relics by this way. For the purpose to add texture information on the point-clouds model, we consider using the approach by fussing the corresponding aerial orthophoto with the model because the objects have very similar texture information in desert. Results show its efficiency and feasible.

Paper Details

Date Published: 14 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74920U (14 October 2009); doi: 10.1117/12.838448
Show Author Affiliations
Li Yan, Wuhan Univ. (China)
Xu Zhao, Wuhan Univ. (China)
Xin Xiang, Shanghai Municipal Institute of Surveying and Mapping (China)
Tie Ding Lu, East China Institute of Technology (China)
Wuhan Univ. (China)
Xue Feng Yi, Xinjiang Univ. (China)
Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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