这是一篇当时做光流时写的文章，但由于各种原因，并没有写程序做实验论证，就此将自己的想法写一篇博客，以慰藉我之前的劳苦！！！光流交流可加QQ群：771816475 光流（Optical Flow）交流群
精确性。
5. 参考文献
[1]Zach C, Pock T, Bischof H. A duality based approach for realtime TV-L1, optical flow[C]// Dagm Conference on Pattern Recognition. Springer-Verlag, 2007:214-223.
[2]Pock T, Urschler M, Zach C, et al. A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration[J]. 2007.
[3]Chambolle A. An Algorithm for Total Variation Minimization and Applications[J]. Journal of Mathematical Imaging and Vision , 2009, 20(s1):89-97.
[4]Carter J L, Vandenberghe L, Osher S J, et al. Dual Methods for Total Variation-Based Image Restoration[J]. Dissertation Abstracts International, Volume: 61-12, Section: B, page: 6504.;Chair: Tony F. Chan. 2002.
[5]Horn B K P,Schunck B G. Determining optical flow[J]. Artificial Intelligence, 1981; 17: 185-204.
[6]Bruhn, A.: Variational Optic Flow Computation - Accurate Modelling and Efficient Numerics. Ph.D. thesis, University of Saarland (2006).
[7]Bruhn A, Weickert J, Schn, et al. Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods[J]. International Journal of Computer Vision, 2005, 61(3):211-231.
[8]Lucas B D, Kanade T. An iterative image registration technique with an application to stereo vision[C]// International Joint Conference on Artificial Intelligence. Morgan Kaufmann Publishers Inc. 1981:674-679.
[9]袁猛, 陈震, 危水根,等. 一种改进的变分光流计算方法[J]. 计算机工程, 2011, 37(3):215-217.
Yuan M,Chen Z,et al.Improved method for variational optic flow computation[J].Computer Engineering.2011,37(3):215-217.
[10]刘骏, 祖静, 张瑜,等. 光照变化条件下的光流估计[J]. 中国图象图形学报, 2014, 19(10):1475-1480.
Liu J, Zu J, Zhang Y, Zhang H Y. Optical flow estimation method under the condition of illumination change[J]. Jounal of Image and Graphics, 2014,19(10):1475-1480.
[10]高源. 基于变分光流场的运动目标检测算法研究[D]. 硕士论文，沈阳大学. 2016.
Gao Y. Research on moving object detection algorithm based on variational optical flow field[D]. Master’s thesis, Shenyang University, 2016.
[11]Papenberg N, Bruhn A, Brox T, et al. Highly Accurate Optic Flow Computation with Theoretically Justified Warping[J]. International Journal of Computer Vision, 2006, 67(2):141-158.
[12]Brox T, Bruhn A, Papenberg N, et al. High Accuracy Optical Flow Estimation Based on a Theory for Warping[J]. 2004, 3024(:10):25-36.
[13]Mahraz M A, Riffi J, Tairi H. High accuracy optical flow estimation based on PDE decomposition[J]. Signal, Image and Video Processing, 2015, 9(6):1-10.