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sift4
- sift特征点对应匹配算法，对立体匹配的初学者和资深编程人员都是很有用的。
stereo
- 一个立体匹配的算法，对于研究视觉立体匹配的同学有一定的作用。-A stereo matching algorithm, for the study of visual stereo matching students to a certain extent.
StereoMatching
- 在Matlab平台上，通过NCC SSD SAD算法双目立体图像求视差图-In the Matlab platform, through the NCC SSD SAD algorithm for stereo disparity map image requesting
SSDSADNCC Matlab
- 立体匹配算法中比较经典的块匹配方法。其中包含了比较有名的ＳＡＤＳＳＤ算法－－－即左右视图中逐一比对像素数值，从而求得最小ｄｉｓｐａｒｉｔｙ 继而得到ｄｅｐｔｈ。-ＳＳＤＳＡＤ methods present in this file,which are improtant in the stereo matching-----we obtain the disparity with the difference of the intensity between the left and rig
采用邻域差值特征模板的立体匹配方法
- 算法给出一种图像匹配方法，通过计算一幅图像中间隔一定距离的两点的像素邻域差值作为特征模板，再计算另一幅图像中在同一扫描线上间隔同样距离的像素邻域的差值，将它与特征模板的偏差作为匹配标准，偏差最小的点就认为是匹配点。
matlabfordaisy
- 这是一个MATLAB代码实现的计算一对用双目立体视觉获得的一对图像对，然后用最新的Daisy算法计算每一个点的局部特征描述子，并且来实现立体匹配的功能。-This is a MATLAB code for computing a pair of stereo vision with a pair of images were obtained, and then Daisy algorithm with the latest point of the local characteristics
stereo
- 基于Belief Propagation算法的立体匹配-Belief Propagation algorithm based on stereo matching
StereoRegion
- 为了执行的立体视差估计算法的区域匹配方法由全局最小的平滑误差能量函数-To the implementation of the disparity estimation algorithm area matching the global minimum energy function of the smoothing error
StereoRegion
- 一种改进的基于线性区域增长的立体匹配算法-The improvement of regional growth based on linear three-dimensional matching algorithms
SAD窗口局部立体匹配
- windows 环境下采用Matlab实现的SAD局部窗口立体匹配算法，主要针对的是灰度图像，能够形成视差图
RANSAC-Toolbox-master
- RANSAC算法经常用于计算机视觉中。例如，在立体视觉领域中同时解决一对相机的匹配点问题及基本矩阵的计算。(RANSAC algorithms are often used in computer vision. For example, in the field of stereoscopic vision, a matching problem of a pair of cameras and a calculation of a basic matrix are simultaneousl
自适应权值立体匹配算法
- 一种改进的自适应权值立体匹配算法，用于图像处理等(An improved adaptive weight stereo matching algorithm for image processing, etc.)
SGM
- 立体匹配SGM算法matlab实现，包括图像预处理，census特征计算、4条扫描线代价聚合、亚像素求精等后处理步骤(Matlab implementation of stereo matching SGM algorithm, including image preprocessing, census feature calculation, four scanning line cost aggregation, sub-pixel refinement and other post-pro