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    NTHUR > College of Electrical Engineering and Computer Science > Department of Computer Science > CS Conference Papers >  An accurate and adaptive optical flow estimation algorithm

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    Title: An accurate and adaptive optical flow estimation algorithm
    Authors: Chin-Hung Teng
    Shang-Hong Lai
    Yung-Sheng Chen
    Wen-Hsing Hsu
    Teacher: 賴尚宏
    Date: 2004
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: ICIP'04.2004 International Conference on Volume 3,24-27 Oct.2004, Page(s):1839-1842 Vol.3
    Keywords: brightness
    conjugate gradient methods
    image sequences
    least squares approximations
    motion estimation
    Abstract: In this paper we present a very accurate algorithm for computing optical flow with non-uniform brightness variations. The proposed algorithm is based on a generalized dynamic image model (GDIM) in conjunction with a regularization framework to cope with the problem of non-uniform brightness variations. To alleviate flow constraint errors due to image aliasing and noise, we employ a reweighted least-squares method to suppress unreliable flow constraints, thus leading to robust estimation of optical flow. In addition, a dynamic smoothness adjustment scheme is proposed to efficiently suppress the smoothness constraint in the vicinity of the motion and brightness variation discontinuities, thus preserving motion boundaries. To efficiently minimize the resulting energy function for optical flow computation, we apply an incomplete Cholesky preconditioned conjugate gradient algorithm to solve the large linear system. Experimental results on some synthetic and real image sequences show that the proposed algorithm outperforms most existing techniques reported in literature in terms of accuracy in optical flow computation with 100 % density.
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    Appears in Collections:[Department of Computer Science] CS Conference Papers
    [Institute of Information Systems and Applications] ISA Conference Papers
    [Computer and Communication Research Center ] CCRC Conference Papers

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