Multiview 3D Warps

8 years 8 months ago
Multiview 3D Warps
Image registration and 3D reconstruction are fundamental computer vision and medical imaging problems. They are particularly challenging when the input data are images of a deforming body obtained by a single moving camera. We propose a new modelling framework, the multiview 3D warps. Existing models are twofold: they estimate interimage warps which are often inconsistent between the different images and do not model the underlying 3D structure, or reconstruct just a sparse set of points. In contrast, our multiview 3D warps combine the advantages of both; they have an explicit 3D component and a set of 3D deformations combined with projection to 2D. They thus capture the dense deforming body’s time-varying shape and camera pose. The advantages over the classical solutions are numerous: thanks to our feature-based estimation method for the multiview 3D warps, one can not only augment the original images but also retarget or clone the observed body’s 3D deformations by changing the ...
Alessio Del Bue, Adrien Bartoli
Added 12 Dec 2011
Updated 12 Dec 2011
Type Journal
Year 2011
Where ICCV
Authors Alessio Del Bue, Adrien Bartoli
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