Title
Nonlinear shape restoration by transformation models
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
Year
DOI
Venue
1990
10.1109/ICPR.1990.119321
Pattern Recognition, 1990. Proceedings., 10th International Conference  
Keywords
DocType
Volume
finite element analysis,information theory,pattern recognition,picture processing,entropy-reduced transformation,finite-element theory,nonlinear shape restoration,image restoration,shape,computer science,finite element methods,entropy,finite element,uncertainty,nonlinear distortion,machine intelligence
Conference
ii
Citations 
PageRank 
References 
7
0.89
2
Authors
2
Name
Order
Citations
PageRank
Y. Y. Tang1416165.12
Suen, C.Y.2627107.95