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2008
IEEE

Local deformation models for monocular 3D shape recovery

9 years 9 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of the feasible deformations is required to overcome the ambiguities. This is further accentuated when such information is poor, which is a key issue that has not yet been addressed. In this paper, we propose an approach to learning shape priors to solve this problem. By contrast with typical statistical learning methods that build models for specific object shapes, we learn local deformation models, and combine them to reconstruct surfaces of arbitrary global shapes. Not only does this improve the generality of our deformation models, but it also facilitates learning since the space of local deformations is much smaller than that of global ones. While using a texture-based approach, we show that our models are effective to reconstruct from single videos poorly-textured surfaces of arbitrary shape, made of materia...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2008
Where CVPR
Authors Mathieu Salzmann, Raquel Urtasun, Pascal Fua
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