Efficient Deformable Shape Correspondence via Kernel Matching

Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers

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.