Paper
29 December 2008 A semi-automatic multiple view texture mapping for the surface model extracted by laser scanning
Zhichao Zhang, Xianfeng Huang, Fan Zhang, Yongmin Chang, Deren Li
Author Affiliations +
Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72851A (2008) https://doi.org/10.1117/12.815884
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Laser scanning is an effective way to acquire geometry data of the cultural heritage with complex architecture. After generating the 3D model of the object, it's difficult to do the exactly texture mapping for the real object. we take effort to create seamless texture maps for a virtual heritage of arbitrary topology. Texture detail is acquired directly from the real object in a light condition as uniform as we can make. After preprocessing, images are then registered on the 3D mesh by a semi-automatic way. Then we divide the mesh into mesh patches overlapped with each other according to the valid texture area of each image. An optimal correspondence between mesh patches and sections of the acquired images is built. Then, a smoothing approach is proposed to erase the seam between different images that map on adjacent mesh patches, based on texture blending. The obtained result with a Buddha of Dunhuang Mogao Grottoes is presented and discussed.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhichao Zhang, Xianfeng Huang, Fan Zhang, Yongmin Chang, and Deren Li "A semi-automatic multiple view texture mapping for the surface model extracted by laser scanning", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72851A (29 December 2008); https://doi.org/10.1117/12.815884
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Cited by 2 scholarly publications.
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KEYWORDS
Volume rendering

3D modeling

Laser scanners

Cameras

Data modeling

Photography

Clouds

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