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CLC number: TP391.4

On-line Access: 2011-11-30

Received: 2011-03-17

Revision Accepted: 2011-06-17

Crosschecked: 2011-11-04

Cited: 1

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.12 P.1010-1020


Robust optical flow estimation based on brightness correction fields

Author(s):  Wei Wang, Zhi-xun Su, Jin-shan Pan, Ye Wang, Ri-ming Sun

Affiliation(s):  School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China, Department of Mathematics, Harbin Institute of Technology, Harbin 150006, China

Corresponding email(s):   garywangzi@gmail.com, zxsu@dlut.edu.cn

Key Words:  Optical flow field, Variational methods, Brightness correction fields, Median filter, Multi-resolution

Wei Wang, Zhi-xun Su, Jin-shan Pan, Ye Wang, Ri-ming Sun. Robust optical flow estimation based on brightness correction fields[J]. Journal of Zhejiang University Science C, 2011, 12(12): 1010-1020.

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%A Jin-shan Pan
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T1 - Robust optical flow estimation based on brightness correction fields
A1 - Wei Wang
A1 - Zhi-xun Su
A1 - Jin-shan Pan
A1 - Ye Wang
A1 - Ri-ming Sun
J0 - Journal of Zhejiang University Science C
VL - 12
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100062

Optical flow estimation is still an important task in computer vision with many interesting applications. However, the results obtained by most of the optical flow techniques are affected by motion discontinuities or illumination changes. In this paper, we introduce a brightness correction field combined with a gradient constancy constraint to reduce the sensibility to brightness changes between images to be estimated. The advantage of this brightness correction field is its simplicity in terms of computational complexity and implementation. By analyzing the deficiencies of the traditional total variation regularization term in weakly textured areas, we also adopt a structure-adaptive regularization based on the robust Huber norm to preserve motion discontinuities. Finally, the proposed energy functional is minimized by solving its corresponding Euler-Lagrange equation in a more effective multi-resolution scheme, which integrates the twice downsampling strategy with a support-weight median filter. Numerous experiments show that our method is more effective and produces more accurate results for optical flow estimation.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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