Imperial College London
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ProfessorMichaelBronstein

Faculty of Engineering, Department of Computing

Visiting Professor
 
 
 
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Contact

 

m.bronstein Website

 
 
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Location

 

569Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Cosmo:2016:10.1109/3DV.2016.10,
author = {Cosmo, L and Rodola, E and Masci, J and Torsello, A and Bronstein, MM},
doi = {10.1109/3DV.2016.10},
pages = {1--10},
title = {Matching deformable objects in clutter},
url = {http://dx.doi.org/10.1109/3DV.2016.10},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We consider the problem of deformable object detection and dense correspondence in cluttered 3D scenes. Key ingredient to our method is the choice of representation: we formulate the problem in the spectral domain using the functional maps framework, where we seek for the most regular nearly-isometric parts in the model and the scene that minimize correspondence error. The problem is initialized by solving a sparse relaxation of a quadratic assignment problem on features obtained via data-driven metric learning. The resulting matching pipeline is solved efficiently, and yields accurate results in challenging settings that were previously left unexplored in the literature.
AU  - Cosmo,L
AU  - Rodola,E
AU  - Masci,J
AU  - Torsello,A
AU  - Bronstein,MM
DO  - 10.1109/3DV.2016.10
EP  - 10
PY  - 2016///
SP  - 1
TI  - Matching deformable objects in clutter
UR  - http://dx.doi.org/10.1109/3DV.2016.10
ER  -
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