Efficient Deformable Shape Correspondence via Kernel Matching

Published in International Conference on 3D Vision (3DV), 2017

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

Teaser Image


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.


[pdf] [arxiv] [github]


    author = 	{M. Vestner and Z. L\"ahner and A. Boyarski and O. Litany and R. Slossberg and T. Remez and E. Rodol\`a and A. M. Bronstein and M. M. Bronstein and R. Kimmel and D. Cremers},
    title = 	{Efficient Deformable Shape Correspondence via Kernel Matching},
    booktitle=	{International Conference on 3D Vision (3DV)},
    year=	{2017},
    month=	{October},