人脸识别 人脸跟踪

在vc++编程中，利用opencv实现图像的处理，显示(In VC programming, using opencv for image display )

用张正有的方法实现摄像机内参数标定,经验证可以实现(Zhang is some method to achieve with camera calibration parameters within)

基于openCV实现的图像打开、复制和保存功能 运行环境：VC++ 2008 express(Implemented based on the image to open openCV, copy and save functions operating environment: VC++ 2008 express)

这是一个opencv读取外部视频，并增加了滚动条的源代码(This is a opencv read external video source, and increasing the scroll bar code)

本程序基于MFC对话框编写，程序可以针对两幅配准后的图片，视频进行红外与可见光融合，提供的算法有小波变换，拉普拉斯金字塔,PCA融合，乘积融合，相关系数融合，线性变换乘积变换融合，简单权重融合，效果非常好。(This program is based on MFC dialog box. The program can fuse infrared and visible light for two registered pictures and videos. The algorithms provided include wavelet transform, Laplace pyramid, PCA fusion, product fusion, correlation coefficient fusion, linear transformation product transformation fusion, simple weight fusion, and the effect is very good.)

360-panorama，360度柱面图像拼接，程序在VS2008环境下开发，opencv2.4.3版本，程序可以直接运行，以将所需依赖项添加在文件夹中，源图像放在source_pic中，最后生成结果在result_pic中。 实现步骤：1先将图像投影到柱面坐标上，2提取图像SIFT描述子，3将SIFT描述子配对，4用RANSAC算法根据配对成功的描述子统计出变换矩阵T，5图像拼接。 对于拼接后的图像，没有做进一步细化处理，使用者可以在生成的图像上再做进一步编辑。(360-panorama 360 degree cylindrical image stitching program developed in VS2008 environment, opencv2.4.3 version, the program can be run directly, add the required dependencies in a folder, the source image on the source_pic in, and finally generate results In result_pic. Implementation steps: first image projected onto the cylindrical coordinates, extract images SIFT descriptor, the SIFT descriptor paired with an the RANSAC algorithm based on the description of the pairing is successful statistics the transformation matrix T 5 image mosaic. For the image with no further thinning, the user can do further editing on the generated image.)

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

OpenCV图像处理编程实例_源码,一些例子的代码和测试图片

对视频进行火焰检测，并实现对火焰的跟踪。(The video is detected by flame, and the flame is tracked)

opencv提取关键帧，关键帧分水岭和阈值分割