SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations

2019-06-10
Dyke, Roberto
Stride, Cc
Lai, Yukun
Rosin, Paul
Aubry, Mm
Boyarsky, Aa
Bronstein, Alex
Bronstein, Michael
Cremers, Daniel
Fisher, Mm
Groueix, Tt
Guo, Dd
Kim, Vladimir
Kimmel, Ron
Lahner, Zorah
Li, Kk
Litany, Ol
Remez, Tt
Rodola, Emanuel
Russel, Bb
Sahillioğlu, Yusuf
Slossberg, Rr
Tam, Gary
Vestner, Mario
Wu, Zheng
Yang, Jj
The registration of surfaces with non-rigid deformation, especially non-isometric deformations, is a challenging problem. When applying such techniques to real scans, the problem is compounded by topological and geometric inconsistencies between shapes. In this paper, we capture a benchmark dataset of scanned 3D shapes undergoing various controlled deformations (articulating, bending, stretching and topologically changing), along with ground truth correspondences. With the aid of this tiered benchmark of increasingly challenging real scans, we explore this problem and investigate how robust current state-of-the-art methods perform in different challenging registration and correspondence scenarios. We discover that changes in topology is a challenging problem for some methods and that machine learning-based approaches prove to be more capable of handling non-isometric deformations on shapes that are moderately similar to the training set.
12th Eurographics Workshop on 3D Object Retrieval, 3DOR 2019, in conjunction with the 40th Annual Conference of the European Association for Computer Graphics, EG 2019 (5 - 6 Mayıs 2019)

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Citation Formats
R. Dyke et al., “SHREC’19: Shape Correspondence with Isometric and Non-Isometric Deformations,” Genoa, Italy, 2019, p. 111, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72312.