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Shape and Reflectance Recovery using Multiple Images with Known Illumination Conditions

Kuk-Jin Yoon 1 Emmanuel Prados 1 Peter Sturm 1 Amael Delaunoy 1 Pau Gargallo 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : We develop a variational method to recover both the shape and the reflectance of a scene surface(s) using multiple images, assuming that illumination conditions are fixed and known in advance. Scene and image formation are modeled with known information about cameras and illuminants, and scene recovery is achieved by minimizing a global cost functional with respect to both shape and reflectance. Unlike most previous methods recovering only the shape of Lambertian surfaces, the proposed method considers general dichromatic surfaces. We verify the method using synthetic data sets containing specular reflection.
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Submitted on : Thursday, September 27, 2007 - 5:12:05 PM
Last modification on : Tuesday, October 19, 2021 - 11:13:07 PM
Long-term archiving on: : Friday, November 25, 2016 - 6:36:18 PM


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  • HAL Id : inria-00175274, version 2



Kuk-Jin Yoon, Emmanuel Prados, Peter Sturm, Amael Delaunoy, Pau Gargallo. Shape and Reflectance Recovery using Multiple Images with Known Illumination Conditions. [Research Report] RR-6309, INRIA. 2007, pp.31. ⟨inria-00175274v2⟩



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