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, Matthias; Lahner, Zorah; Boyarski, Amit; Litany, Or; Slossberg, Ron; Remez, Tal; Rodola, Emanuele; Bronstein, Alex; Bronstein, Michael; Kimmel, Ron; Cremers, Daniel. - (2018), pp. 517-526. (Intervento presentato al convegno 7th IEEE International Conference on 3D Vision, 3DV 2017 tenutosi a 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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