Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion

CVPR 2019 Suryansh Kumar

Given dense image feature correspondences of a non-rigidly moving object across multiple frames, this paper proposes an algorithm to estimate its 3D shape for each frame. To solve this problem accurately, the recent state-of-the-art algorithm reduces this task to set of local linear subspace reconstruction and clustering problem using Grassmann manifold representation \cite{kumar2018scalable}... (read more)

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