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Isometric Non-rigid Shape-from-Motion in Linear Time
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
We study Isometric Non-Rigid Shape-from-Motion (Iso-NRSfM): given multiple intrinsically calibrated monocular images, we want to reconstruct the time-varying 3D shape of an object undergoing isometric deformations. We show that Iso-NRSfM is solvable from the warps (the inter-image geometric transformations). We propose a new theoretical framework based on Riemmanian manifolds to represent the unknown 3D surfaces, as embeddings of the camera's retinal planes. This allows us to use the manifolds'doi:10.1109/cvpr.2016.506 dblp:conf/cvpr/ParasharPB16 fatcat:ozbc3kc3drgjvkfn7ije57gkqm