DocumentCode :
146537
Title :
Incorporating discontinuity preserving approach for optical flow estimation
Author :
Kumar, Pranaw ; Kumar, Sudhakar ; Balasubramanian, R.
Author_Institution :
Dept. of Math., IIT Roorkee, Roorkee, India
fYear :
2014
fDate :
25-26 Sept. 2014
Firstpage :
941
Lastpage :
946
Abstract :
In this paper, we consider a modified variational energy functional for estimating optical flow from a sequence of images. The given functional incorporates the global variational model of Horn and Schunck(1981) and the classical model of Nagel and Enkelmann(1986) as a new regularisation functional, which efficiently preserve discontinuity in optical flow. In particular, the other significance of this work is in two aspects: (i) It uses a new diffusion model to estimate average velocities, which reflects the effect of the intensity difference. (ii) It uses a more efficient compensating iterative numerical scheme to achieve higher computational efficiency in order to solve the related Euler-Lagrange equations. Experimental evaluation on a given data sets (synthetic and real) present the robustness and accuracy of method and also validate the effect on discontinuity preserving.
Keywords :
image sequences; iterative methods; motion estimation; video signal processing; Euler-Lagrange equations; diffusion model; discontinuity preserving approach; iterative numerical scheme; optical flow estimation; variational energy functional; video image sequence; Adaptive optics; Biomedical optical imaging; Equations; Image sequences; Mathematical model; Optical computing; Optical imaging; Optical flow; computer vision; differential techniques; variational methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
Conference_Location :
Noida
Print_ISBN :
978-1-4799-4237-4
Type :
conf
DOI :
10.1109/CONFLUENCE.2014.6949319
Filename :
6949319
Link To Document :
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