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Coupled functional maps
Classical formulations of the shape matching problem involve the definition of a matching cost that directly depends on the action of …
Davide Eynard
,
Emanuele Rodolà
,
Klaus Glashoff
,
Michael M. Bronstein
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Shape analysis with anisotropic windowed Fourier transform
We propose Anisotropic Windowed Fourier Transform (AWFT), a framework for localized space-frequency analysis of deformable 3D shapes. …
Simone Melzi
,
Emanuele Rodolà
,
Umberto Castellani
,
Michael M. Bronstein
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Efficient globally optimal 2d-to-3d deformable shape matching
We propose the first algorithm for non-rigid 2D-to-3D shape matching, where the input is a 2D shape represented as a planar curve and a …
Zorah Lähner
,
Emanuele Rodolà
,
Frank Schmidt
,
Michael M. Bronstein
,
Daniel Cremers
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URL
GitHub
SHREC'16: Matching of deformable shapes with topological noise
A particularly challenging setting of the shape matching problem arises when the shapes being matched have topological artifacts due to …
Z. Lähner
,
Emanuele Rodolà
,
M. M. Bronstein
,
Daniel Cremers
,
O. Burghard
,
Luca Cosmo
,
A. Dieckmann
,
R. Klein
,
Y. Sahillioglu
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Computing and Processing Correspondences with Functional Maps
Notions of similarity and correspondence between geometric shapes and images are central to many tasks in geometry processing, computer …
Maks Ovsjanikov
,
Etienne Corman
,
Michael M. Bronstein
,
Emanuele Rodolà
,
Mirela Ben-Chen
,
Leo Guibas
,
Frederic Chazal
,
Alex M. Bronstein
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Geometric Deep Learning
The goal of these course notes is to describe the main mathematical ideas behind geometric deep learning and to provide implementation …
Jonathan Masci
,
Emanuele Rodolà
,
Davide Boscaini
,
Michael M. Bronstein
,
Hao Li
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Matching deformable objects in clutter
We consider the problem of deformable object detection and dense correspondence in cluttered 3D scenes. Key ingredient to our method is …
Luca Cosmo
,
Emanuele Rodolà
,
Jonathan Masci
,
Andrea Torsello
,
Michael M. Bronstein
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SHREC'16: Partial matching of deformable shapes
Matching deformable 3D shapes under partiality transformations is a challenging problem that has received limited focus in the computer …
Luca Cosmo
,
Emanuele Rodolà
,
Michael M. Bronstein
,
Andrea Torsello
,
Daniel Cremers
,
Yusuf Sahillioǧlu
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URL
Point-wise map recovery and refinement from functional correspondence
Since their introduction in the shape analysis community, functional maps have met with considerable success due to their ability to …
Emanuele Rodolà
,
Michael Moeller
,
Daniel Cremers
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Best Paper Award
arXiv
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
Due to their recent availability as off-the-shelf commercial devices, light-field cameras has gathered increasing attention from both …
Filippo Bergamasco
,
Andrea Albarelli
,
Luca Cosmo
,
Andrea Torsello
,
Emanuele Rodolà
,
Daniel Cremers
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