基于运动的多体非刚性结构

Suryansh Kumar, Yuchao Dai, Hongdong Li
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引用次数: 44

摘要

在本文中,我们提出了第一个多体非刚性运动结构(SFM)方法,该方法可以同时重建和分割随时间变化而发生非刚性变形的多个物体。在我们的公式下,每个非刚性物体的3D轨迹可以很好地近似于来自同一物体的其他3D轨迹的稀疏仿射组合。利用乘法器交替方向法(ADMM)对优化结果进行求解。我们通过在合成和真实数据序列上的大量实验证明了所提出方法的有效性。我们的方法优于其他替代方法,例如首先将2D特征轨迹聚类成组,然后在每组中进行非刚性重建,或者首先通过使用单个子空间假设进行3D重建,然后将3D轨迹聚类成组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Body Non-Rigid Structure-from-Motion
In this paper, we present the first multi-body non-rigid structure-from-motion (SFM) method, which simultaneously reconstructs and segments multiple objects that are undergoing non-rigid deformation over time. Under our formulation, 3D trajectories for each non-rigid object can be well approximated with a sparse affine combination of other 3D trajectories from the same object. The resultant optimization is solved by the alternating direction method of multipliers (ADMM). We demonstrate the efficacy of the proposed method through extensive experiments on both synthetic and real data sequences. Our method outperforms other alternative methods, such as first clustering the 2D feature tracks to groups and then doing non-rigid reconstruction in each group or first conducting 3D reconstruction by using single subspace assumption and then clustering the 3D trajectories into groups.
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