DocumentCode
2224378
Title
Geodesic distance evolution of surfaces: a new method for matching surfaces
Author
Yahia, H.M. ; Huot, E.G. ; Herlin, I.L. ; Cohen, I.
Author_Institution
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
Volume
1
fYear
2000
fDate
2000
Firstpage
663
Abstract
The general problem of surface matching is considered in this study. The process described in this work hinges on a geodesic distance equation for a family of surfaces embedded in the graph of a cost function. The cost function represents the geometrical matching criterion between the two 3D surfaces. This graph is a hypersurface in 4-dimensional space, and the theory presented herein is a generalization of the geodesic curve evolution method introduced by R. Kimmel et al. (1995). It also generalizes the 2D matching process developed in Cohen and Herlin (1998). An Eulerian level-set formulation of the geodesic surface evolution is also used, leading to a numerical scheme for solving partial differential equations originating from hyperbolic conservation laws, which has proven to be very robust and stable. The method is applied on examples showing both small and large deformations, and arbitrary topological changes
Keywords
image matching; surface fitting; 2D matching; geodesic curve evolution; geodesic distance equation; geometrical matching; matching surfaces; surface matching; Application software; Computer graphics; Computer vision; Cost function; Geometry; Image representation; Intelligent robots; Intelligent systems; Partial differential equations; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location
Hilton Head Island, SC
ISSN
1063-6919
Print_ISBN
0-7695-0662-3
Type
conf
DOI
10.1109/CVPR.2000.855883
Filename
855883
Link To Document