Electronics Optics & Control, Volume. 25, Issue 10, 62(2018)
On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry
[7] [7] DRULEA M, NEDEVSCHI S.Total variation regularization of local-global optical flow[C]//International IEEE Conference on Intelligent Transportation Systems, 2011:318-323.
[8] [8] KUMAR P, KUMAR S, BALASUBRAMANIAN R.A fractional order total variation model for the estimation of optical flow[C]//Computer VisionPattern Recognition, Ima-ge Processing and Graphics, IEEE, 2016:1-4.
[9] [9] LIU T, SHEN L.Fluid flow and optical flow[J].Journal of Fluid Mechanics, 2008, 614:253-291.
[11] [11] BOBROW D G.“Determining optical flow”:a retrospective[M].Cambridge:MIT Press, 1994:81-87.
[12] [12] WANG B, CAI Z M, SHEN L X, et al.An analysis of physics-based optical flow[J].Journal of Computational and Applied Mathematics, 2015, 276:62-80.
[13] [13] PERONA P, MALIK J.Scale-space and edge detection using anisotropic diffusion[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 12(7):629-639.
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ZHENG Jia, WANG Hongyan, PEI Binnan. On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry[J]. Electronics Optics & Control, 2018, 25(10): 62
Received: Nov. 10, 2017
Accepted: --
Published Online: Jan. 15, 2021
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