资源列表
tbb41_20121003oss_win
- opencv用到的tbb 例子，还有各种动态链接库-opencv used tbb
Camara_ctrl
- qt平台 OPENCV实现背景差分法的目标跟踪，可以设置阈值调节搜索框和二值化背景，初学目标跟踪必学的算法-qt platform OPENCV achieve background difference method for target tracking, you can set the threshold adjustment search box and two values of the background, beginners will learn th
sifttext
- opencv的sift测试程序，通过摄像头提取图像与图片对比相似度-the opencv sift testing procedures, extract images through the camera and picture contrast similarity
Chapter7_HeadPoseEstimation
- 人脸表情识别，基于opencv开发，good-Facial expression recognition based on opencv developer, good
opencv-paint
- 用opnecv写了一个小程序 打开图片画图并保存 希望给大家带来帮助-With opnecv wrote a small program to open and save the image drawing hope to bring help
CvFindEye
- 能识别人脸，人眼睛，居于opencv库的，用vs2010写的，效果挺好的-Able to recognize human faces, eyes, living opencv library, using vs2010 written very good results
LBP
- LBP算法的实现，使用opencv显示处理后的图像-LBP algorithm, using the image display processing opencv
Lsm_match
- 最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。-Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matchin
EyeAPI
- 基于opencv的视线追踪，国外的半开源代码，值得参考。利用等照度线曲率来定位人眼，可满足一定范围内的头部运动。-Gaze tracking based on opencv , foreign semi-open source code.Gaze tracking using isophote curvature to locate the human eye, foreign code, a good reference.
SRADPVS2010
- VS2010+OPENCV实现了SRAD算法，对图像进行平滑去噪，能有效抑制噪声并增强图像中的目标边缘。-VS2010+OPENCV realized SRAD algorithm for image denoising smoothing, can effectively suppress noise and enhance the image of the target edge.
opencv_Demo
- 利用MFC来实现OpenCV中的基本图像处理功能，比如缩放，边缘检测，腐蚀膨胀等等，也包括人脸检测部分，里面有详细的注释，非常适合于OpenCV的初学者.-OpenCV using MFC to achieve the basic image processing functions, such as zoom, edge detection, corrosion expansion, etc., but also includes face detection part, there are
birdeye
- 本程序得先通过摄像机标定，获取内参矩阵和畸变系数矩阵，然后根据learning opencv 中的方法进行鸟瞰变换。其中有可执行的程序，和源代码。-This procedure was first through the camera calibration, access to internal reference matrix and the distortion coefficient matrix, and then according to the method of learning