Toward Global and Model based Multiview Stereo Methods for Shape and Reflectance Estimation

Kuk-Jin Yoon 1 Amael Delaunoy 1 Pau Gargallo 1 Peter Sturm 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper, we present a variational method that recovers both the shape and the reflectance of the Lambertian scene using multiple images. Although we consider only Lambertian surfaces in this paper, the proposed method, which is global and completely model based, is the first and unavoidable stage for reaching a shape and reflectance estimation method for non-Lambertian surfaces. Basically, our method is a multiview stereo/shape from shading algorithm which allows to recover 3D shapes from Lambertian shading with known illumination conditions. Contrary to previous works that deal with a single material object of the constant albedo, our method works for surfaces with non-constant reflectance parameters, in particular with non-constant albedo. In addition, our algorithm is not based on two or more separate steps - shape and reflectance are jointly recovered in a same process. We verified the proposed method using synthetic images. We will extend our method for non-Lambertian surfaces to improve the robustness to non-Lambertian effects.
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Peter Belhumeur and Katsushi Ikeuchi and Emmanuel Prados and Stefano Soatto and Peter Sturm. PACV 2007 - 1rst International Workshop on Photometric Analysis For Computer Vision, Oct 2007, Rio de Janeiro, Brazil. INRIA, 8 p., 2007, Proceedings of the First International Workshop on Photometric Analysis For Computer Vision - PACV 2007
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Kuk-Jin Yoon, Amael Delaunoy, Pau Gargallo, Peter Sturm. Toward Global and Model based Multiview Stereo Methods for Shape and Reflectance Estimation. Peter Belhumeur and Katsushi Ikeuchi and Emmanuel Prados and Stefano Soatto and Peter Sturm. PACV 2007 - 1rst International Workshop on Photometric Analysis For Computer Vision, Oct 2007, Rio de Janeiro, Brazil. INRIA, 8 p., 2007, Proceedings of the First International Workshop on Photometric Analysis For Computer Vision - PACV 2007. 〈inria-00264903〉

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