Anatomy-based registration of isometrically transformed surfaces using geodesic area functionals

Boaz Vigdor, Joseph M. Francos

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

Abstract

A novel method for registration of isometrically transformed surfaces is introduced. The isometric transformation is locally decomposed into a sequence of low order transformations after manual analysis and partition of the template surface into its elementary parts. The proposed method employs geodesic moments, first, to find matching corresponding key points, and second, to generate matching regions for each of the object's parts. The local transformation is estimated using second order moments of the corresponding regions. The method operation is demonstrated on the TOSCA dog object.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings
Pages93-104
Number of pages12
EditionPART 1
DOIs
StatePublished - 1 Dec 2010
Event12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010 - Sydney, NSW, Australia
Duration: 13 Dec 201016 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6474 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010
Country/TerritoryAustralia
CitySydney, NSW
Period13/12/1016/12/10

Keywords

  • Isometric transformation
  • object registration

Fingerprint

Dive into the research topics of 'Anatomy-based registration of isometrically transformed surfaces using geodesic area functionals'. Together they form a unique fingerprint.

Cite this