DocumentCode :
2206996
Title :
Shape-based 3D surface correspondence using geodesics and local geometry
Author :
Wang, Yongmei ; Peterson, Bradley S. ; Staib, Lawrence H.
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
644
Abstract :
This paper describes a new method for determining correspondence between points on pairs of surfaces based on shape using a combination of geodesic distance and surface curvature. An initial sparse set of corresponding points is generated using a shape-based matching procedure. Geodesic interpolation is employed in order to capture the complex surface. In addition, surface correspondence and triangulation are computed simultaneously in a hierarchical way. Results applied to human cerebral cortical surfaces are shown to evaluate the approach
Keywords :
computational geometry; differential geometry; image matching; interpolation; medical image processing; stereo image processing; complex surface; geodesic distance; geodesic interpolation; human cerebral cortical surfaces; local geometry; shape-based 3D surface correspondence; shape-based matching; sparse points set; surface curvature; triangulation; Chromium; Geometry;
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.2000.854933
Filename :
854933
Link To Document :
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