DocumentCode :
1740883
Title :
Optical flow estimation using forward-backward constraint equation
Author :
Randriantsoa, A. ; Berthoumieu, Y.
Author_Institution :
CNRS, Bordeaux I Univ., Talence, France
Volume :
2
fYear :
2000
fDate :
10-13 Sept. 2000
Firstpage :
578
Abstract :
This article introduces the estimation of the optical flow, based on the combination of forward and backward constraint motion equations. Among all the existing techniques allowing the retrieval of the motion, many methods start from the assumption of recorded image brightness dependency after displacement. This dependency spans a derivative formulation, so called motion constraint equation, based on the spatial transformation. In this framework, for fixed temporal positions, the motion of a rigid object can be described by a forward and backward exploitation of the motion constraint equation, for the same spatial position. This setting in equation enables us to establish a new relation called a forward-backward optical flow equation.
Keywords :
brightness; image sequences; motion estimation; partial differential equations; backward constraint motion equation; computational complexity; fixed temporal positions; forward constraint motion equation; forward-backward constraint equation; forward-backward optical flow equation; image sequence; motion estimation; motion retrieval; optical flow estimation; partial derivatives; partial differential equations; real-time artificial vision; recorded image brightness dependency; rigid object motion; spatial position; spatial transformation; temporal estimation; Brightness; Computational complexity; Cows; Equations; Frequency domain analysis; Image motion analysis; Image retrieval; Lighting; Motion estimation; Optical recording;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899495
Filename :
899495
Link To Document :
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