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