人头检测

说明：  利用计算机视觉，在python语言下，实时对车道线进行识别检测(direct and show the lane from video)

基于OpenCV的透视校正（校正倾斜）,必须手动指定四个点-perspective correction C++ code

VC++调用opencv函数库实现静态人脸检测，实现简单，代码完整，运行效果好(VC++ call opencv library to achieve a static face detection, simple, code integrity, effective running)

opencv function list with dialoge

基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的(SVM-based image classification with BoW OpenCV implementation from foreign website)

调用OpenCV 库，对jpeg、png等格式图片进行灰度矩阵复杂度计算。

利用opencv实现相机的标定，算法采用张正友的棋盘法。结构很清晰易懂。(Opencv camera calibration algorithm using the checkerboard method of Zhang Zhengyou. The structure is clear and easy to understand.)

说明：  基于Visual C++编程，用户界面，获取Kinect深度图像(Getting Kinect Depth Image)

三维重建算法代码。基于opencv2.4.9 vs2015  三维重建算法代码。基于opencv2.4.9 vs2015  三维重建算法代码。基于opencv2.4.9 vs2015  三维重建算法代码。基于opencv2.4.9 vs2015  三维重建算法代码。基于opencv2.4.9 vs2015 

说明：  行人的检测使用库函数OpenCV里已经内置的行人检测方法，调用OpenCV预先训练好了的HOG+线性SVM模型，能够对图像和视频中的行人进行检测，系统会分别使用两种算法通过矩形条框将图片中的行人框出来。(Pedestrian detection uses the built-in pedestrian detection method in OpenCV library function, calling the pre-trained HOG + linear SVM model of OpenCV, which can detect the pedestrians in images and videos. The system uses two algorithms to frame the pedestrians in pictures through rectangular bars.)