Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks
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 points close to …