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3D shape from anisotropic diffusion

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4 Author(s)
Favaro, P. ; Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA ; Osher, S. ; Soatto, S. ; Vese, L.

We cast the problem of inferring the 3D shape of a scene from a collection of defocused images in the framework of anisotropic diffusion. We propose an algorithm that can estimate the shape of a scene by inferring the diffusion coefficient of a heat equation. The method is optimal, as we pose it as the minimization of a certain cost functional based on the input images, and fast. Furthermore, we also extend our algorithm to the case of multiple images, and derive a 3D scene segmentation algorithm that can work in the presence of pictorial camouflage.

Published in:

Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on  (Volume:1 )

Date of Conference:

18-20 June 2003

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