Home
News
Publications
People
Contact
shape matching
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
We introduce ReMatching, a novel shape correspondence solution based on the functional maps framework. Our method, by exploiting a new …
Filippo Maggioli
,
Daniele Baieri
,
Emanuele Rodolà
,
Simone Melzi
Cite
arXiv
GitHub
Orthogonalized Fourier polynomials for signal approximation and transfer
The usual Laplacian eigenbasis is extended to consider also polynomials of the eigenfunctions. The new extended basis has in increased descriptive power in signal reconstruction and transfer tasks, coming at a very reduced cost.
Filippo Maggioli
,
Simone Melzi
,
Maks Ovsjanikov
,
Michael M. Bronstein
,
Emanuele Rodolà
Cite
PDF
GitHub
MapTree: Recovering Multiple Solutions in the Space of Maps
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D …
Jing Ren
,
Simone Melzi
,
Maks Ovsjanikov
,
Peter Wonka
Cite
URL
PDF
GitHub
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
We present a simple and efficient method for refining maps or correspondences by iterative upsampling in the spectral domain that can …
Simone Melzi
,
Jing Ren
,
Emanuele Rodolà
,
Abhishek Sharma
,
Peter Wonka
,
Maks Ovsjanikov
Cite
URL
PDF
GitHub
Cite
×