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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
Tianli Yu, University of Illinois at Urbana-Champaign
Ning Xu, University of Illinois at Urbana-Champaign
Narendra Ahuja, University of Illinois at Urbana-Champaign
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. The shape of the object is represented by a triangular mesh. 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. The estimates of shape and reflectance model are gradually refined by subdividing triangles in the mesh into smaller ones. 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.
Citation:
Tianli Yu, Ning Xu, Narendra Ahuja, "Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views," cvpr, vol. 2, pp.226-233, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
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