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If possible would the future lecture cover segmentation? I'm interested in how this is done in an unsupervised learning method.


I'm curious about correspondences. How can we find and match parts of meshes?


Are there purely geometric techniques used for segmentation? I've mostly heard about strategies involving neural networks being employed for this purpose -- curious what other ways there to go about it.


Can you expand on the two types of symmetry (extrinsic/intrinsic) shown? I think I see how the extrinsic one works but I'm not sure how the intrinsic one is symmetrical.