运动非刚性结构的黎曼流形优化

Appu Shaji, S. Chandran
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引用次数: 14

摘要

本文研究了从二维特征中自动提取可变形物体三维结构的问题。我们在这项工作中的重点是建立在观察的基础上,即运动参数所跨越的子空间是光滑流形的子集,因此我们在这个空间中寻找解决方案,而不是使用启发式(正如之前尝试的那样)。我们通过附加一个标准黎曼度量,并使用一种非刚性分解算法的变体来实现这一点。我们定性和定量地表明,与目前的技术水平相比,我们的算法产生更好的结果。
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Riemannian manifold optimisation for non-rigid structure from motion
This paper address the problem of automatically extracting the 3D configurations of deformable objects from 2D features. Our focus in this work is to build on the observation that the subspace spanned by the motion parameters is a subset of a smooth manifold, and therefore we hunt for the solution in this space, rather than use heuristics (as previously attempted earlier). We succeed in this by attaching a canonical Riemannian metric, and using a variant of the non-rigid factorisation algorithm for structure from motion. We qualitatively and quantitatively show that our algorithm produces better results when compared to the state of art.
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