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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  Accurate optical flow computation under non-uniform brightness variations

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66922

    Title: Accurate optical flow computation under non-uniform brightness variations
    Authors: Chin-Hung Teng;Shang-Hong Lai;Yung-Sheng Chen;Wen-Hsing Hsu
    教師: 賴尚宏
    Date: 2005
    Publisher: Elsevier
    Relation: COMPUTER VISION AND IMAGE UNDERSTANDING,Volume 97,Issue 3,Pages 315-346,MAR 2005
    Keywords: Optical flow computation
    Motion analysis
    Motion estimation
    Brightness variation
    Robust estimation
    Motion discontinuity
    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, thereby preserving motion boundaries. We also employ a constraint refinement scheme, which aims at reducing the approximation errors in the first-order differential flow equation, to refine the optical flow estimation especially for large image motions. To efficiently minimize the resulting energy function for optical flow computation, we utilize 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 compares favorably to most existing techniques reported in literature in terms of accuracy in optical flow computation with 100% density.
    URI: http://www.elsevier.com/
    Appears in Collections:[資訊工程學系] 期刊論文

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