使用Open cV车辆检测

基于C++和Python利用opencv实现人脸检测和微笑检测

《OpenCV教程——基础篇》电子书，OpenCV中文书中不错的一本(OpenCV Tutorial- Basics,e-book,an good OpenCV Chinese book)

基于Python的分水岭算法可以自动分割连接的图像(Python - based watershed algorithm can automatically segment connected images)

利用OpenCV实现张正友标定法对相机的标定，源码为C++语言，包含了样例图片(Camera calibration using Opencv)

MS的kinec SDK和OpenNI都提供了人体骨骼跟踪的算法，人体骨骼跟踪算法在kinect人体行为识别中非常重要，该识别过程通常被用来作为行为识别的第一步，比如说，通过定位人体中的骨骼支架，可以提取出人手的部位，从而可以把手的部分单独拿出来分析，这样就达到了手势的定位，而后面的手势识别则可以在刚刚定位出的领域进行处理。总而言之，一套有效的人体骨架追踪算法在kinect的一系列应用中非常有用，不过MS SDK和OpenNI虽然都提供了该算法类的直调用，但是其源码并没有开放，毕竟这是人家最核心的东东。 　　开发环境：QtCreator2.5.1+OpenNI1.5.4.0+Qt4.8.2(MS kinec SDK and OpenNI provides a human skeleton tracking algorithm, the human skeleton tracking algorithm in recognition kinect human behavior, is very important, the identification process is usually used as the first step in behavior recognition, for example, by positioning the body The skeletal stent, can extract a portion of manpower, which can grip a portion separate out to be analyzed, so that to achieve the positioning of a gesture, and the back of the gesture recognition processing can just locate the areas. All in all, a human skeleton tracking algorithm in the kinect range of applications useful, but MS SDK and OpenNI provides direct invocation of the algorithm class, but its source is not open, and this is, after all, the people most core stuff. Development Environment: QtCreator2.5.1+OpenNI1.5.4.0+Qt4.8.2)

用opencv人脸库，用vs实现视频播放，有利于对vs的入门及熟悉

采用线结构光技术对摄像机进行标定、光平面标定和三维重建。Include camera intrinsic calibration, light plane calibration and reconstruction in 3D measurement using light stripe technique.(Include camera intrinsic calibration, light plane calibration and reconstruction in 3D measurement using light stripe technique.)

学习图像处理的入门教程代码，有清晰的注视，详细的代码，值得刚入门学习图像处理OPENCV的同学下载下来学习。里面还有各种机器学习算法的简介，可以学习了解下。

Visual 2012 project demo for BF matching method using opencv246.

说明：   基于OpenCV的例程，修改实现了基于MFC对话框构架的期望最大化算法，将部份注释和运行提示译成了中文，有助于更好地理解原程序。(It s an MFC Dialog based Expectation Maximize algorithm modified from OpenCV source. Chinese comments are added to it to enchance better understand of the program.)