Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 139-143, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B5/139/2012/
doi:10.5194/isprsarchives-XXXIX-B5-139-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Jul 2012
HIGH PRECISION TEXTURE RECONSTRUCTION FOR 3D SCULPTURE MODEL
F. Zhang1, H. Huang1, Z. Zhang2, W. Fang1, and D. Li1 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
2School of Remote Sensing, Wuhan University, Wuhan, 430079, China
Keywords: Texture, Mapping, Image, Modeling, Reconstruction, Cultural Heritage, Laser scanning Abstract. High precision 3D sculpture model can take the accurate records of the shape, material and color on the surface of the sculpture. It is an important foundation work of digital documentation, preservation, archaeological research and analysis for the sculpture types of cultural heritage. Constructing high precision 3D sculpture model includes two aspects: geometry modeling and texture reconstruction. But, there are many urgent problems still existing in the method of high precision texture reconstruction. This paper discussed a method of high precision texture reconstruction based on non-rigid transformation for 3D sculpture model. First, coarse registration of texture image to geometrical model is conducted with direct linear transformation (DLT) method. Then, the registration is optimized with thin plane spline (TPS) function to reduce local matching errors between texture image and geometrical model. Finally, texture mapping is implemented with optimized registration result. The experiments based on the sculpture in Dunhuang Mogao Grottoes of China are conducted, and the efficiency and feasibility of the proposed methods are proved.
Conference paper (PDF, 706 KB)


Citation: Zhang, F., Huang, H., Zhang, Z., Fang, W., and Li, D.: HIGH PRECISION TEXTURE RECONSTRUCTION FOR 3D SCULPTURE MODEL, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 139-143, doi:10.5194/isprsarchives-XXXIX-B5-139-2012, 2012.

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