3D mesh interest point detection using GISIFs and heat diffusion

Jan Hurtado, Madeley Coaquira, Cristian José Lopez Del Alamo

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

Abstract

To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable in different instances of the object. This article proposes a descriptor based on symmetry (GISIFs) and heat diffusion (HKS). From this features, we select a set of representative points. The GISIFs referenced in this article has not been used to extract local features. We compare our results with the results of other techniques, which make up the state of the art in interest point detection. We use a benchmark that evaluates the accuracy of the selected points with respect to an ideal set of interest points.

Original languageEnglish
Title of host publicationProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditorsAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391436
DOIs
StatePublished - 16 Dec 2015
Event41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru
Duration: 19 Oct 201523 Oct 2015

Publication series

NameProceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference41st Latin American Computing Conference, CLEI 2015
Country/TerritoryPeru
CityArequipa
Period19/10/1523/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • geometry processing
  • GISIFs
  • Heat Kernel Signature
  • interest point
  • Laplace-Beltrami operator

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