资源列表
normxcorr2_mex_ALL
- 归一化互相关高速计算模块OpenCV工程,Daniel Eaton已将其生成Matlat Mex文件,比Matlab内建的normxcorr2()效率要高-Normalized cross-correlation of high-speed calculation module, Daniel Eaton have been wrapped the C++ code from OpenCV project and making it available as a MATLAB MEX-file,
打开位图并缩放显示用Visual c++
- 打开位图并缩放显示用Visual c++打开位图并缩放显示用Visual+c++实现打开位图并缩放显示用Visual+c++实现
marker
- opencv视觉定位，C++编写，很有参考价值。-opencv visual positioning, C++ to write, a good reference value.
SIFTSURF
- SIFT算法、SURF算法和PCA—SIFT算法的实例，里面要安装OPENCV才能用的-SIFT algorithm, SURF algorithm and PCA-SIFT algorithm instance, which can be used to install OPENCV
PedestrianExtraction
- 基于opencv的行人检测，用到了svm,haar特征-Opencv-based pedestrian detection, use the svm, haar features, etc.
grabcut
- opencv抠图算法。c语言实现。需要较少的用户输入就能实现很好的分割效果。-opencv matting algorithm
haarcascades
- opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等，出自专家之手，必属精品，CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
MagicHouse
- 使用OpenCV进行图像的增强处理,包括拉普拉斯边缘增强，Sobel边缘细化-Use OpenCV for image enhancement, edge enhancement, including Laplace, Sobel Edge Thinning
Gaussian-modeling-approach
- vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
morphology1
- 用opencv进行形态学操作处理图像，开闭运算和膨胀腐蚀-Using opencv morphological image processing operations, opening and closing operation and expansion of corrosion
testByPaddy
- QT opecv非常有用视频跟踪 海康的视频监控项目-QT opecv useful video tracking