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opticalflowmatlabcodes
- 使用光流法进行的视频图像分割The Lucas-Kanade algorithm for motion estimation was used, and was implemented in Matlab due to the fact that most of the matrix operation functions that are needed are already available and hence saves time by not having to implement t
optflow.rar
- 这是一个基于opencv的计算光流的程序，采用的是Lucas-Kanade算法,This is a calculation based on optical flow opencv procedures, using the Lucas-Kanade algorithm
Factorization
- Lucas-Kanader-Tomasi Feature Tracker，由运动恢复结构的问题，目的是从一组由摄像机移动获得的图像来恢复一个场景的立体结构。对于这个问题，C.Tomasi和T.Kanade[1]于1992年提出了一种Factorization的方法，可以有效地避免噪声的干扰，同时不会受限于特定的运动模型，例如单纯的平移或是旋转。-Lucas-Kanader-Tomasi Feature Tracker, by the movement to restore the structu
LucasKanadeTracker
- Lucas-Kanader-Tomasi Feature Tracker，基于B.D.Lucas和T.Kanade[1]于1981的早期工作，于1991年由C.Tomasi和T.Kanade[2]完整导出，并于1994年由J.Shi和C.Tomasi[3]在文章中清楚地阐述。J.Y.Bougue[4]于2000年给出了此算法的一种实现，并收录在Intel公司的计算机视觉函数库OpenCV中。本例是此算法基于OpenCv的代码实现-Lucas-Kanader-Tomasi Feature Trac
kanade_takeo_1973_1
- 这可是由Takeo Kanade 撰写的人脸识别方面的文章。研究人脸表情识别与人脸识别的都需要这篇文章，这也是难得的国外资源啊！-This is written by Takeo Kanade Face Recognition articles. Research on Facial Expression Recognition and Face Recognition need this article, this is a rare foreign resources ah!
optical
- Horn Schunk 的论文 Lucas kanade的论文-Horn Schunk s paper Lucas kanade s paper
lucas_kanade
- lucas-kanade的光流算法原文（1981） 具有参考价值 -lucas-kanade the original optical flow algorithm (1981) with reference value
lk20
- 经典的Lucas-Kanade算法的实现。打包了源代码和相应的论文。-The classic Lucas-Kanade algorithm. Packaged the source code and the corresponding papers.
dollars-opflow
- optical flow.，光流法，多种方法实现，详细说明。自个儿看吧-showing a grayscale image with a colorbar and interactive pixel info tool.Applies Gaussian smoothing to a(multidimensional) image. Calculate optical flow using Lucas & Kanade. Calculate optical flow using Horn &
Lucas-Kanade
- 本文描述了L-K算法，以及其应用范围,其在人脸识别中的重要性-it introduces L-K agorithm and its abblity
Lucas-Kanade2
- Lucas-Kanade part 2 对计算机视觉和机器学习很有帮助 详细论文和代码在文章的附录中有详细地址 很不错 -Lucas-Kanade part 2 of the computer vision and machine learning for more helpful articles and code in the article addresses in detail in the appendix is very good
LucasKanade
- programme lucas and kanade
Face-Feature-Tracking
- 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础 上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征 点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point,
lucas-kanade
- Lucas-Kanade算法用于求稠密光流的，只需要每个感兴趣点周围小窗口的局部信息-Lucas-Kanade optical flow algorithm is used to find the dense and requires only a small window around each point of interest local information
optical-flow-and-video-processing
- Real time optical flow, and video processing, with support for camera input in Matlab.-Start by running "runMe.m" Supports input through: a) synthetically generated test images b) reading avi-file c) camera input (requires image aquisit
LK_improved
- Traditional optical flow technique that developed by Lucas and Kanade was improved with the optimized variable setting. It is quite simple and also helpful.
B.Lucas
- 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Ste
stanford_LK
- Lucas-Kanade 跟踪算法，此算法实现了经典Lk跟踪，详细算法参见文章 An Iterative Image Registration Technique with an Application to Stereo Vision (IJCAI), B.D. Lucas and T. Kanade, 7th International Joint Conference on Artificial Intelligence (IJCAI), April, 1981, pp. 674-67
Luacas_Kanade
- 在计算机视觉中，Lucas–Kanade光流算法是一种两帧差分的光流估计算法。它由Bruce D. Lucas 和 Takeo Kanade提出。(In computer vision, the Lucas - Kanade optical flow algorithm is a two frame differential optical flow estimation algorithm. It is proposed by Bruce D. Lucas and Takeo Kanade.)
15883830Lucas_Kanade
- 基于matlab的lucas kanade算法的仿真与分析，matlab代做(Simulation and analysis of Lucas Kanade algorithm based on MATLAB, matlab generation.)