DocumentCode :
1742367
Title :
Estimating fluid optical flow
Author :
Corpetti, Thomas ; Mémin, Étienne ; Pérez, Patrick
Author_Institution :
IRISA, Rennes, France
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1033
Abstract :
We address the problem of fluid motion estimation in image sequences. For such motions, standard optical flow methods, based on intensity conservation and spatial coherence of motion field, are not suitable. This is due to the highly deformable nature of a fluid medium. For all applications where fluid motions are to be recovered from images, it is then important to have specific techniques. We investigate such dedicated models which include an original observation constraint, based on the continuity equation from fluid mechanics, and a new div-curl-type smoothness term. Our method is validated on synthetic and real meteorological images
Keywords :
computer vision; image sequences; meteorology; motion estimation; continuity equation; div-curl-type smoothness term; fluid motion estimation; fluid optical flow; meteorological images; Biomedical optical imaging; Brightness; Equations; Fluid flow; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Optical distortion; Spatial coherence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903722
Filename :
903722
Link To Document :
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