Geodesic shooting and diffeomorphic matching via textured meshes

Stephanie Allassonnière, Alain Trouvé, Laurent Younes

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

Abstract

We propose a new approach in the context of diffeomorphic image matching with free boundaries. A region of interest is triangulated over a template, which is considered as a grey level textured mesh. A diffeomorphic transformation is then approximated by the piecewise affine deformation driven by the displacements of the vertices of the triangles. This provides a finite dimensional, landmark-type, reduction for this dense image comparison problem. Based on an optimal control model, we analyze and compare two optimization methods formulated in terms of the initial momentum: direct optimization by gradient descent, or root-finding for the transversality equation, enhanced by a preconditioning of the Jacobian. We finally provide a series of numerical experiments on digit and face matching.

Original languageEnglish
Title of host publicationEnergy Minimization Methods in Computer Vision and Pattern Recognition - 5th International Workshop, EMMCVPR 2005, Proceedings
PublisherSpringer Verlag
Pages365-381
Number of pages17
ISBN (Print)3540302875, 9783540302872
DOIs
Publication statusPublished - 1 Jan 2005
Externally publishedYes
Event5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005 - St. Augustine, FL, United States
Duration: 9 Nov 200511 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3757 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005
Country/TerritoryUnited States
CitySt. Augustine, FL
Period9/11/0511/11/05

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