DocumentCode :
917511
Title :
Constructing intrinsic parameters with active models for invariant surface reconstruction
Author :
Vemuri, Baba C. ; Malladi, Ravikanth
Author_Institution :
Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
Volume :
15
Issue :
7
fYear :
1993
fDate :
7/1/1993 12:00:00 AM
Firstpage :
668
Lastpage :
681
Abstract :
A technique for constructing a canonical surface parameterization in terms of lines of curvature is presented. Two methods of computing the canonical invariant representation are also presented. In the first method, a static instance of the controlled continuity spline is used for the stabilizer. Ways to modify it to reflect a change of parameters to the lines of curvature are described. In the second method, the dynamic instance of the controlled continuity spline called the deformable model is used. A force field defined in terms of the principal vectors is synthesized and applied to the parameter curves of the deformable model to coerce them along the lines of curvature. In essence, any transformation of parameters requires a modification of the stabilizer in the first method, whereas in the second method, it is tantamount to synthesizing a new force field. Experimental results with real and synthetic range data are included
Keywords :
image reconstruction; invariance; splines (mathematics); active models; canonical invariant representation; controlled continuity spline; curvature lines; deformable model; force field; invariant surface reconstruction; principal vectors; Bayesian methods; Biomembranes; Computer vision; Deformable models; Monte Carlo methods; Nonlinear equations; Reconstruction algorithms; Shape; Spline; Surface reconstruction;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.221168
Filename :
221168
Link To Document :
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