DocumentCode :
3374713
Title :
Nonlinear shape restoration by transformation models
Author :
Tang, Yuan Y. ; Suen, Ching Y.
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Volume :
ii
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
14
Abstract :
An entropy-reduced transformation (ERT) approach to nonlinear shape restoration has been developed. Nonlinear shape distortions are formulated using nonlinear shape transformations derived from the finite-element theory. Several algorithms which perform the nonlinear shape transformations are given. The inverse nonlinear shape transformation algorithms are described. Some application experiments are described, and results are given
Keywords :
finite element analysis; information theory; pattern recognition; picture processing; entropy-reduced transformation; finite-element theory; nonlinear shape restoration; pattern recognition; picture processing; Cameras; Computer science; Entropy; Finite element methods; Image restoration; Machine intelligence; Nonlinear distortion; Pattern recognition; Shape; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.119321
Filename :
119321
Link To Document :
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