Shape and Reflectance Estimation

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.

 

Related Publications

Titre
3D and Appearance Modeling from Images
Auteurs
Sturm Peter; Delaunoy Amael; Gargallo Pau url; Prados Emmanuel url; Yoon Kuk-Jin url
Détail
Eduardo Bayro-Corrochano and Jan-Olof Eklundh. Proceedings of the 14th Iberoamerican Congress on Pattern Recognition - CIARP 2009, November 2009, Guadalajara, Mexico. Springer, 5856, pp. 695-704, Lecture Notes in Computer Science
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ciarp.pdf BibTex
Titre
Shape and Reflectance Recovery using Multiple Images with Known Illumination Conditions
Auteurs
Yoon Kuk-Jin url; Prados Emmanuel url; Sturm Peter url; Delaunoy Amael; Gargallo Pau url
Détail
[Research Report], 2007. RR-6309
Accès au texte intégral et bibtex
RR-6309.pdf BibTex