SHREC 2020 Track: Non-rigid Shape Correspondence of Physically-Based Deformations

Roberto M. Dyke, Feng Zhou, Yu-Kun Lai, Paul L. Rosin, Daoliang Guo, Kun Li, Riccardo Marin & Jingyu Yang
Commonly, novel non-rigid shape correspondence techniques focus on particular matching challenges. This can lead to the potential trade-off of poorer performance in other scenarios. An ideal dataset would provide a granular means for degrees of evaluation. In this paper, we propose a novel dataset of real scans that contain challenging non-isometric deformations to evaluate non-rigid point-to-point correspondence and registration algorithms. The deformations included in our dataset cover extreme types of physically-based contortions of a toy...
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