DocumentCode
2241187
Title
3-D model-data correspondence and nonrigid deformation
Author
Gupta, Alok ; Liang, Cheng-Chung
Author_Institution
Siemens Corporate Research, Inc., Princeton, NJ, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
756
Lastpage
757
Abstract
Modeling nonrigid moving 3-D objects entails recovery of global motion, global shape, and local shape. The already difficult problem of tracking nonrigid local shape is made worse by the need for a model-data correspondence scheme to make tracking possible. Both problems are addressed. Various methods for establishing 3-D model-data correspondence are discussed, and a correspondence scheme for tessellated data is presented. A force-based method for nonrigid motion tracking is presented. The authors´ method does not use complex finite element techniques but follows a residual force-based dynamic model for local deformation. Another novel feature is that the net forces are obtained by an adaptive force distribution scheme which ensures smooth and stable deformation. Results are presented of tracking simulated as well as real 3-D data of the inner wall of the heart ventricle from segmented magnetic resonance images
Keywords
image restoration; tracking; 3-D model-data correspondence; adaptive force distribution scheme; force-based method; global motion; global shape; heart ventricle; inner wall; local deformation; local shape; moving 3-D objects; nonrigid deformation; nonrigid motion tracking; residual force-based dynamic model; segmented magnetic resonance images; tessellated data; Computer vision; Deformable models; Educational institutions; Finite element methods; Heart ventricles; Image segmentation; Magnetic resonance; Resonance; Shape; Solid modeling; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341159
Filename
341159
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