DocumentCode :
2082282
Title :
A General Framework and New Alignment Criterion for Dense Optical Flow
Author :
Ben-Ari, Rami ; Sochen, Nir
Author_Institution :
Tel Aviv University
Volume :
1
fYear :
2006
fDate :
17-22 June 2006
Firstpage :
529
Lastpage :
536
Abstract :
The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient methods. Along with the framework a new alignment criterion suggests itself. It is shown that the alignment between the gradients of the optical flow components and between the latter and the intensity gradients is an important measure of the flow’s quality. Adding this criterion as a requirement in the optimization process improves the resulting flow. This is demonstrated in synthetic and real sequences.
Keywords :
Anisotropic magnetoresistance; Art; Computer vision; Geometrical optics; Image motion analysis; Image processing; Mathematics; Optical computing; Optical devices; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2597-0
Type :
conf
DOI :
10.1109/CVPR.2006.25
Filename :
1640801
Link To Document :
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