Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

    ACM Trans. Graph., Volume 37, Issue 1, 2018, Pages 6:1-6:14.

    Cited by: 60|Bibtex|Views23|Links
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    Keywords:
    Local 3D shape descriptors convolutional networks shape matching

    Abstract:

    We present a new local descriptor for 3D shapes, directly applicable to a wide range of shape analysis problems such as point correspondences, semantic segmentation, affordance prediction, and shape-to-scan matching. The descriptor is produced by a convolutional network that is trained to embed geometrically and semantically similar point...More

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