DocumentCode
2958468
Title
Thin plate energy minimization via GNC
Author
Gelli, D. ; Vitulano, D.
Author_Institution
Ist. per le Applicazioni del Calcolo, CNR, Rome, Italy
Volume
2
fYear
2003
fDate
18-20 Sept. 2003
Firstpage
1136
Abstract
This paper focuses on the minimization of a thin plate problem with discontinuities by means of GNC (graduated nonconvexity) algorithm. GNC applied to such an energy allows us to achieve the exact solution of this problem, and to overcome drawbacks concerning minimization achieved by a "two-steps" process based on thin membrane. Typical distortions of the latter are avoided with a little higher computational effort.
Keywords
computer vision; concave programming; minimisation; variational techniques; computer vision; graduated nonconvexity algorithm; thin membrane; thin plate nonconvex energy minimization; two-steps process; variational model; Biomembranes; Computer vision; Detectors; Image edge detection; Layout; Minimization methods; Object recognition; Signal processing algorithms; Surface cleaning; Surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN
953-184-061-X
Type
conf
DOI
10.1109/ISPA.2003.1296483
Filename
1296483
Link To Document