Generic scene recovery using multiple images

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We present a generative model based method for recovering both the shape and the reflectance of the surface(s) of a scene from multiple images, 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. © 2009 Springer Berlin Heidelberg.
Publisher
2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009
Issue Date
2009-06-01
Language
English
Citation

2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2009, pp.745 - 757

DOI
10.1007/978-3-642-02256-2_62
URI
http://hdl.handle.net/10203/244639
Appears in Collection
ME-Conference Papers(학술회의논문)
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