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