=====================face detection

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

本程序是用OPENCV,与C++联合开发的求取图像上的任意点的像素坐标值,与点的像素的程序,通过本程序使你轻松得到图像处理最基本的元素.适合初学OPENCV图像处理的人做参考.

在图像处理过程中，经常会遇到这样一部分图像，图像的整体部分如果人来看的话一眼就能看出，但是它的内部由于有各种小缺口，导致断开了，这样在计算机“眼”里就被认为是断开的，为了使图像达到适应人眼的感觉，需要将这些缺口和断开的口给连接上去，这就需要用到计算机图形学中的连通域处理技术。本文给出一个简单的连通域处理函数，当然这个函数是来自OpenCV著名教程Learning OpenCV中，只不过它的接口是基于c版本的OpenCV，而到目前为止，基于C++接口的OpenCV已经是主流，所以我将其接口改成了c++版的，但是其内部一些代码基本没有动它。(An integral part of the part of the image, the image of people look one can see in image processing, often encounter, but it is the internal cause disconnected due to a variety of small gap, so that the computer " eye " is considered to be disconnected in order to adapt to the human eye feeling image, you need to connect these gaps and disconnect the mouth up, which requires domain processing techniques used in computer graphics connectivity. This paper presents a simple connected domain processing function, this function is of course from Learning OpenCV OpenCV famous tutorial, but its interface is based on the c version of OpenCV, and so far OpenCV based on C++ interfaces has been the mainstream, so I interface into a c++ version, but some of its internal code basically did not move it.)

说明：  采用传统图像处理方法，能够实现对车道线的检测，检测效果较好(The traditional image processing method can realize the detection of lane line, and the detection effect is good)

说明：  Image processsing , to realize second-differential filter, based on Visual Studio 2010&OpenCV

颜色直方图粒子滤波器，并给出了英文参考文献； 运行方式：在前景窗口，按p键停止，在目标区域点击鼠标，让程序自动识别出目标轮廓，再次按p键，即可跟踪(The color histogram particle filter, given English references operation modes: in the foreground window, press p stop clicking the mouse in the target area, allowing the program to automatically identify the target contour, press p again, you can track)

VS2013+OPENCV2.4.9+kinect2.0实现深度彩色图像(VS2013+OPENCV2.4.9+kinect2.0 realize the depth of the color image)

《OpenCV 2 计算机视觉编程手册》例程，包括完整的代码文件和图片(OpenCV 2 computer visual programming manual routines, including the complete code files and images)

matlab编写画数据的柱状图,比较分析时有用 不错的源码(Matlab drawing histogram of data, comparative analysis useful good source)

基于opencv单目机标定的源代码，包含标定的图片，程序注释详细，很适合初学者。(Based on opencv monocular machine calibration source code, including the picture of the calibration, application notes in detail, very suitable for beginners. )