Imperial College London

ProfessorMichaelBronstein

Faculty of EngineeringDepartment of Computing

Chair in Machine Learning and Pattern Recognition
 
 
 
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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{Vestner:2018:10.1109/3DV.2017.00065,
author = {Vestner, M and Lahner, Z and Boyarski, A and Litany, O and Slossberg, R and Remez, T and Rodola, E and Bronstein, A and Bronstein, M and Kimmel, R and Cremers, D},
doi = {10.1109/3DV.2017.00065},
pages = {517--526},
title = {Efficient deformable shape correspondence via kernel matching},
url = {http://dx.doi.org/10.1109/3DV.2017.00065},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © 2017 IEEE. 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-wise and point-wise descriptors, imposing a continuity prior on the mapping, and propose a projected descent optimization procedure inspired by difference of convex functions (DC) programming.
AU - Vestner,M
AU - Lahner,Z
AU - Boyarski,A
AU - Litany,O
AU - Slossberg,R
AU - Remez,T
AU - Rodola,E
AU - Bronstein,A
AU - Bronstein,M
AU - Kimmel,R
AU - Cremers,D
DO - 10.1109/3DV.2017.00065
EP - 526
PY - 2018///
SP - 517
TI - Efficient deformable shape correspondence via kernel matching
UR - http://dx.doi.org/10.1109/3DV.2017.00065
ER -