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Patch_Sparsity
- 算法仿真：论文《Image Inpaiting by Patch Propagation Using Patch Sparsity》中提出的图像修复算法的； 1）使用了OpenCV2.2.0开源机器视觉库，IDE为VS2010 2）设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C：\OpenCV2.2；VS2010属性页文件依赖于此环境变量，在Path中添加C：\OpenCV2.2\bin，更具体的环境配置可以查看OpenCV相关手册设置属性页文件或Email:zhen
MR8fast
- 论文《A Statistical Approach to Material Classification Using Image Patch Exemplars》提出的算法C++实现 1）使用了OpenCV2.2.0和VS2010，设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C:\OpenCV2.2,在path中添加环境变量C:\OpenCV2.2\bin,具体可查看OpenCV的用户手册 2）可zhenjia.dou@gmail.com-The algorithms
onling_tracker
- 采用在线学习跟踪方式，对物体进行跟踪，代码用c++编写，库用的Opencv库，程序中包括了3个.h，3个.cpp，一个.main程序。-We have added two new state-of-the-art object tracking algorithms to OpenCV which can robustly track images patches across a video sequence and learn online (i.e., on-the-fly) as the
getMoravecCorners
- Moravec角点检测。算法会检测图像的每一个像素，将像素周边的一个邻域作为一个patch，并检测这个patch和周围其他patch的相关性-Moravec corner detection. Algorithm will detect each of the pixels of the image, as a neighborhood of pixels surrounding a patch, and detecting the correlation of this patch and p
getMoravecCorners
- Moravec角点检测算法将角点定义为具有低“自相关性”的点。算法会检测图像的每一个像素，将像素周边的一个邻域作为一个patch，并检测这个patch和周围其他patch的相关性。-Moravec corner detection algorithm to corner points defined as having a low "autocorrelation" point. Algorithm detects images of each pixel, the pixel as a nei
patches
- VC++实现人脸检测和识别，包含文件：camshift.struct.patch rangeChecks.patch-VC++ implementation of face detection and recognition, including file: camshift.struct.patch rangeChecks.patch
examples
- Patch-Based Image Warping for Content-Aware Retargeting using seam carving image retargeting
Patch
- 1利用SIFT关键点进行图像匹配 2在视频中，在一帧中检测关键点，之后利用canonical patch传递关键点，经过一定阈值的帧后，再次计算关键点，利用相邻帧之间关键点的差别很小，只更新关键点的位置，提高帧率。 3阈值自动确定-1 uses SIFT image matching key points 2 in the video, detecting critical points in one frame, after which it canonical patch tra
PatchMatch
- 使用patch-matchs算法对图像进行修复的源代码，采用opencv- U4F7F u7528patch-matchs u7B97 u6CD5 u5BF9 u56FE u50CF u8FDB u884C u4FEE u590D u7684 u6E90 u4EE3 u7801 uFF0C u91C7 u7528opencv