Affine-invariant photometric heat kernel signatures

Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local shape descriptors. Our construction is based on the definition of a modified metric, which combines geometric and photometric information, and then the diffusion process on the shape manifold is simulated. Experimental results show that such data fusion is useful in coping with shape retrieval experiments, where pure geometric and pure photometric methods fail. Apart from retrieval task the proposed diffusion process may be employed in other applications.

Original languageEnglish
Title of host publicationEG 3DOR 2012 - Eurographics 2012 Workshop on 3D Object Retrieval
Pages39-46
Number of pages8
DOIs
StatePublished - 2012
Event5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012 - Cagliari, Italy
Duration: 13 May 201213 May 2012

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR

Conference

Conference5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012
Country/TerritoryItaly
CityCagliari
Period13/05/1213/05/12

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Affine-invariant photometric heat kernel signatures'. Together they form a unique fingerprint.

Cite this