Generic Scene Recovery using Multiple Images

Kuk-Jin Yoon 1 Emmanuel Prados 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, a generative model based method for recovering both the shape and the reflectance of the surface(s) of a scene from multiple images is presented, assuming that illumination conditions are known in advance. Based on a variational framework and via gradient descents, the algorithm minimizes simultaneously and consistently a global cost functional with respect to both shape and reflectance. Contrary to previous works which consider specific individual scenarios, our method applies to a number of scenarios -- mutiview stereovision, multiview photometric stereo, and multiview shape from shading. In addition, our approach naturally combines stereo, silhouette and shading cues in a single framework and, unlike most previous methods dealing with only Lambertian surfaces, the proposed method considers general dichromatic surfaces.
Type de document :
Communication dans un congrès
Xue-Cheng Tai and Knut Mørken and Marius Lysaker and Knut-Andreas Lie. SSVM 2009 - 2nd International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2009, Voss, Norway. Springer, 5567, pp.745-757, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-02256-2_62〉
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Soumis le : jeudi 29 janvier 2009 - 15:52:26
Dernière modification le : mercredi 30 mai 2018 - 12:21:29
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Kuk-Jin Yoon, Emmanuel Prados, Peter Sturm. Generic Scene Recovery using Multiple Images. Xue-Cheng Tai and Knut Mørken and Marius Lysaker and Knut-Andreas Lie. SSVM 2009 - 2nd International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2009, Voss, Norway. Springer, 5567, pp.745-757, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-02256-2_62〉. 〈inria-00357139〉

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