资源列表
drawImage
- 这是在vc6.0下，使用opencv1.0 实现的一个关于画图的小程序。具体参考《opencv教程 - 基础篇》里面的P83 页 drawing.c 。主要功能就是利用opencv实现图形的绘制。-This is in vc6.0, using opencv1.0 achieve a small program on the drawing. Specific reference to " opencv tutorial- The Basics," which the P8
facetrack
- opencv中运用meanshift算法进行车辆检测 人脸识别-opencv in the vehicle detection algorithm using face recognition meanshift
Laganiere-Robert---OpenCV-2-Computer-Vision-Appli
- OpenCV 2 Computer Vision Application Programming Cookbook
opencv-ebook
- 学习OpenCV（中文版）计算机_人工智能_综合作者：(美)Gary Bradski Adrian Kaehler 计算机视觉是在图像处理的基础上发展起来的新兴学科。-Learning OpenCV (Chinese version) integrated computer _ _ Artificial Intelligence Author: (United States) Gary Bradski Adrian Kaehler image processing, computer visi
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
openCV2CB
- 在C++builder6.0中使用OpenCV1.0。可以将opencv图像格式IplImage与C++builder图像格式Bitmap、Image1->Picture->Bitmap进行相互转换。-In C++ builder6.0 use OpenCV1.0. Opencv image formats can be IplImage with C++ builder image format Bitmap, Image1-> Picture-> Bitmap for
Camerads
- 基于opencv的多摄像头采集，可实时拍摄，切换摄像头-Opencv-based multi-camera acquisition, real-time recording, switch the camera
pingjun
- 在visual C++的开发环境下基于opencv实现平均脸的求取过程- opencv realize average face for the processIn the visual c++ development environment based on
MFC-in-OpenCV
- 内容包括MFC中使用opencv的知识，从穿件工程，使用opencv库， 在mfc类中增加函数等。-Including the use of MFC opencv knowledge engineering from wear, use opencv library, add the mfc class functions, etc.
AnotherMouseController
- opencv手势控制鼠标的源码，可以实现控制鼠标，通过肤色匹配来实现。-opencv source code control the mouse gesture, can control the mouse, by color matching to achieve.
depth(2010.07.23)
- 基于opencv和DEVC++的关于双目视觉标定后的求深度的源代码。-Opencv and DEVC++ based on binocular vision after seeking the depth of the calibration source.
seamless_image_clone
- 将原图像镶嵌到另外一个目标图像中. 并且利用边缘模糊的算法.将原图像更好的融合进目标图像里-The original image mosaic to another destination image. And the use of soft-edge algorithm. Better integrated into the original image in the target image