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Dense 3D correspondence can enhance robotic manipulation by enabling the generalization of spatial, functional, and dynamic information from one object to an unseen counterpart.
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Informative descriptor preservation via commutativity for shape matching
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Emanuele Rodolà, Luca Cosmo, Michael M Bronstein, Andrea Torsello, and Daniel Cremers · 2017
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Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
Peter R Florence, Lucas Manuelli, and Russ Tedrake · 2018
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Continuous and orientation-preserving correspondences via functional maps
Jing Ren, Adrien Poulenard, Peter Wonka, and Maks Ovsjanikov · 2018
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Shrec’19: Shape correspondence with isometric and non-isometric deformations, 2019
Roberto M. Dyke, Caleb Stride, Yu-Kun Lai, and Paul L. Rosin · 2019
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