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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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Analysis of surface parametrizations for modern photometric stereo modeling
Tridimensional shape recovery based on Photometric Stereo (PS) recently received a strong improvement due to new mathematical models …
Roberto Mecca
,
Emanuele Rodolà
,
Daniel Cremers
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Learning similarities for rigid and non-rigid object detection
In this paper, we propose an optimization method for estimating the parameters that typically appear in graph-theoretical formulations …
Asako Kanezaki
,
Emanuele Rodolà
,
Daniel Cremers
,
Tatsuya Harada
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Anisotropic Laplace-Beltrami operators for shape analysis
This paper introduces an anisotropic Laplace-Beltrami operator for shape analysis. While keeping useful properties of the standard …
Mathieu Andreux
,
Emanuele Rodolà
,
Mathieu Aubry
,
Daniel Cremers
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Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis
We propose novel point descriptors for 3D shapes with the potential to match two shapes of the same object under natural deformations. …
Thomas Windheuser
,
Matthias Vestner
,
Emanuele Rodolà
,
Rudolf Triebel
,
Daniel Cremers
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URL
Dense non-rigid shape correspondence using random forests
We propose a shape matching method that produces dense correspondences tuned to a specific class of shapes and deformations. In a …
Emanuele Rodolà
,
Samuel Rota Bulo
,
Thomas Windheuser
,
Matthias Vestner
,
Daniel Cremers
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URL
Elastic net constraints for shape matching
We consider a parametrized relaxation of the widely adopted quadratic assignment problem (QAP) formulation for minimum distortion …
Emanuele Rodolà
,
Andrea Torsello
,
Tatsuya Harada
,
Yasuo Kuniyoshi
,
Daniel Cremers
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