资源列表
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
cvut_test
- opencv 实现摄像机标定，为立体匹配与三维重建打下了基础。-Opencv realizes the camera calibration,it sets a foundation for stereo matching with the 3 d reconstruction
Vehicle1.3
- VC6.0 + QT4 + OpenCV 环境。演示视频地址http://v.youku.com/v_show/id_XMzA3MTU2Mzky.html (低角度车流量检测器)一种基于车头特征的车辆检测，很好的应用于低角度摄像机。与地感线圈车检器相比，解决了跟车问题。与传统基于背景建模的检测方法相比，解决了道路拥堵问题并解决了传统方法受限于摄像机必须架设很高的问题。同时能有效去除自行车、摩托车、行人的干扰，准确率可达95 。 all rights reserved by birdwcp-V
OpenCV_VC6.0_surf
- Visual C++ 6.0平台基于OpenCV的SURF图像特征点的检测和匹配源代码，能正确的实现图像特征点的检测和匹配功能，对研究图像特征点匹配非常有帮助。-The Visual C++ 6.0 platform is based on OpenCV SURF image feature points detection and matching of source code, can correct the image feature point detection and matchin
color
- 基于OpenCV库 采集摄像头中红色像素 定位红色物体中心位置-OpenCV based, extract red pixels from webcam, locate the center of the red target