DocumentCode :
3208095
Title :
Recovering shape and reflectance model of non-lambertian objects from multiple views
Author :
Yu, Tianli ; Xu, Ning ; Ahuja, Narendra
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
2
fYear :
2004
fDate :
27 June-2 July 2004
Abstract :
This paper proposes an algorithm to simultaneously estimate both the 3D shape and parameters of a surface reflectance model from multiple views of an object made of a single material. The algorithm is based on a multiple view shape from shading method. A triangular mesh represents the shape of the object. The Phong reflectance model is used to model the surface reflectance. We iteratively find the shape and reflectance parameters that best fit all input images. Subdividing triangles in the mesh into smaller ones gradually refines the estimates of shape and reflectance model. The estimation takes into account both self-occlusion and self-shadowing. Analysis shows that the accuracy of reflectance estimation is limited by the triangle size in the shape model. We also propose to use Richardson extrapolation to overcome this and further refine the reflectance model estimate. The estimated 3D shape and reflectance model can be used to render the same object from different viewing directions and under different lighting conditions. Experimental results on both synthetic and real objects are given.
Keywords :
computer vision; extrapolation; image representation; iterative methods; reflectivity; 3D shape estimation; Phong reflectance model; Richardson extrapolation; iterative method; nonlambertian objects; surface reflectance model; triangular mesh representation; Computer graphics; Computer vision; Image reconstruction; Layout; Photometry; Reflectivity; Rendering (computer graphics); Shape; Stereo vision; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315168
Filename :
1315168
Link To Document :
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