DocumentCode
2317803
Title
A distance for elastic matching in object recognition
Author
Azencott, Robert ; Coldefy, Francois ; Younes, Laurent
Volume
1
fYear
1996
fDate
25-29 Aug 1996
Firstpage
687
Abstract
We define distances between geometric curves by the square root of the minimal energy required to transform one curve into the other. The energy is formally defined from a left invariant Riemannian distance on an infinite dimensional group acting on the curves, which can be explicitly computed. The obtained distance boils down to a variational problem for which an optimal matching between the curves has be computed. An analysis of the distance when the curves are polygonal leads to a numerical procedure for the solution of the variational problem, which can efficiently be implemented, as illustrated by experiments
Keywords
computational geometry; computer vision; edge detection; image matching; object recognition; variational techniques; Riemannian distance; computer vision; elastic matching; geometric curves; image matching; infinite dimensional group; minimal energy; object recognition; variational problem; Computer vision; Costs; Laboratories; Object recognition; Optimal matching; Pattern recognition; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546112
Filename
546112
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