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{Rodolà:2019:10.1111/cgf.13598,
author = {Rodolà, E and Lähner, Z and Bronstein, AM and Bronstein, MM and Solomon, J},
doi = {10.1111/cgf.13598},
journal = {Computer Graphics Forum},
title = {Functional Maps Representation On Product Manifolds},
url = {http://dx.doi.org/10.1111/cgf.13598},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - © 2019 The Authors Computer Graphics Forum © 2019 The Eurographics Association and John Wiley & Sons Ltd. We consider the tasks of representing, analysing and manipulating maps between shapes. We model maps as densities over the product manifold of the input shapes; these densities can be treated as scalar functions and therefore are manipulable using the language of signal processing on manifolds. Being a manifold itself, the product space endows the set of maps with a geometry of its own, which we exploit to define map operations in the spectral domain; we also derive relationships with other existing representations (soft maps and functional maps). To apply these ideas in practice, we discretize product manifolds and their Laplace–Beltrami operators, and we introduce localized spectral analysis of the product manifold as a novel tool for map processing. Our framework applies to maps defined between and across 2D and 3D shapes without requiring special adjustment, and it can be implemented efficiently with simple operations on sparse matrices.
AU - Rodolà,E
AU - Lähner,Z
AU - Bronstein,AM
AU - Bronstein,MM
AU - Solomon,J
DO - 10.1111/cgf.13598
PY - 2019///
SN - 0167-7055
TI - Functional Maps Representation On Product Manifolds
T2 - Computer Graphics Forum
UR - http://dx.doi.org/10.1111/cgf.13598
ER -