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Direct Estimation of Nonrigid Registrations with Image-Based Self-Occlusion Reasoning

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3 Author(s)
Gay-Bellile, V. ; LASMEA, CEA Saclay, Gif-sur-Yvette, France ; Bartoli, A. ; Sayd, P.

The registration problem for images of a deforming surface has been well studied. External occlusions are usually well handled. In 2D image-based registration, self-occlusions are more challenging. Consequently, the surface is usually assumed to be only slightly self-occluding. This paper is about image-based nonrigid registration with self-occlusion reasoning. A specific framework explicitly modeling self-occlusions is proposed. It is combined with an intensity-based, ldquodirectrdquo data term for registration. Self-occlusions are detected as shrinkage areas in the 2D warp. Experimental results on several challenging data sets show that our approach successfully registers images with self-occlusions while effectively detecting the self-occluded regions.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:32 ,  Issue: 1 )