activity
20152017
most citedPoint-wise Map Recovery and Refinement from Functional Correspondence

54 citations · 86 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV201725 cited

Efficient Deformable Shape Correspondence via Kernel Matching

Zorah Lähner, Matthias Vestner, Amit Boyarski +8

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-…

cs.GR2017

Localized Manifold Harmonics for Spectral Shape Analysis

Simone Melzi, Emanuele Rodolà, Umberto Castellani +1

The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In particular, Laplacian eigenbases allow generalizing…

cs.CV20167 cited

Bayesian Inference of Bijective Non-Rigid Shape Correspondence

Matthias Vestner, Roee Litman, Alex Bronstein +2

Many algorithms for the computation of correspondences between deformable shapes rely on some variant of nearest neighbor matching in a descriptor space. Such are, for example, var…

cs.CV2016

Learning shape correspondence with anisotropic convolutional neural networks

Davide Boscaini, Jonathan Masci, Emanuele Rodolà +1

Establishing correspondence between shapes is a fundamental problem in geometry processing, arising in a wide variety of applications. The problem is especially difficult in the se…

cs.CV201554 cited

Point-wise Map Recovery and Refinement from Functional Correspondence

Emanuele Rodolà, Michael Moeller, Daniel Cremers

Since their introduction in the shape analysis community, functional maps have met with considerable success due to their ability to compactly represent dense correspondences betwe…