We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality. We formulate the problem as matching between a set of pair-wise and point-wise descriptors, imposing a continuity prior on the mapping, and propose a projected descent optimization procedure inspired by difference of convex functions (DC) programming.
Efficient deformable shape correspondence via kernel matching / Vestner, M., Lahner, Z., Boyarski, A., Litany, O.r., Slossberg, R., Remez, T., Rodola, E., Bronstein, A., Bronstein, M., Kimmel, R., Cremers, D.. - (2018), pp. 517-526. (7th IEEE International Conference on 3D Vision, 3DV 2017 Qingdao; China ) [10.1109/3DV.2017.00065].
Efficient deformable shape correspondence via kernel matching
Rodola, Emanuele;
2018
Abstract
We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality. We formulate the problem as matching between a set of pair-wise and point-wise descriptors, imposing a continuity prior on the mapping, and propose a projected descent optimization procedure inspired by difference of convex functions (DC) programming.| File | Dimensione | Formato | |
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