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

@article{Bronstein:2011:10.1109/TPAMI.2010.210,
author = {Bronstein, MM and Bronstein, AM},
doi = {10.1109/TPAMI.2010.210},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
pages = {1065--1071},
title = {Shape recognition with spectral distances},
url = {http://dx.doi.org/10.1109/TPAMI.2010.210},
volume = {33},
year = {2011}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Recent works have shown the use of diffusion geometry for various pattern recognition applications, including nonrigid shape analysis. In this paper, we introduce spectral shape distance as a general framework for distribution-based shape similarity and show that two recent methods for shape similarity due to Rustamov and Mahmoudi and Sapiro are particular cases thereof. © 2006 IEEE.
AU - Bronstein,MM
AU - Bronstein,AM
DO - 10.1109/TPAMI.2010.210
EP - 1071
PY - 2011///
SN - 0162-8828
SP - 1065
TI - Shape recognition with spectral distances
T2 - IEEE Transactions on Pattern Analysis and Machine Intelligence
UR - http://dx.doi.org/10.1109/TPAMI.2010.210
VL - 33
ER -