资源列表
camera-calibration
- 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.
otsu-opencv
- 本算法利用遗传算法根据otsu原则迭代计算得到图像的最优分割阈值。 使用了opencv库。-otsu use opencv
yingbishibie
- OpenCV识别硬币，并用红色椭圆给出硬币所在区域。-OpenCV coin recognition And oval to draw the coins in your area
HK_SDK_CAM_STREAM_CHANGE
- 海康网络相机截取视频流并解压简易DEMO 调用NET_DVR_RealPlay_V30()播放函数,启用回调PlayM4_SetDecCallBack()分析回调流,使用回调函数DecCBFun()截取视频流,分析并解压,等到char * pbuf图像,用于处理-Hikvision network camera capture video stream and extracting a simple DEMO,Call (NET_DVR_RealPlay_V30())playback fun
point-matching
- 基于opencv的密集点匹配程序，运用C++语言实现-Sparse point matching and reconstruction (no image correction)
myStructuredLight
- 这是从国外网站下载的源代码，实现了利用投影设备实现三维重构，从标定，到特征线提取，以及最后的三维重建均是很完整的，对于做三维重建的人是不可多得的资料。在这里不由得再次感叹老外的慷慨，希望大家也将自己的好源码共享。-This is from foreign web site the source code, and the realization of the projection equipment realize 3 d reconstruction, from the calibration
Binocular-calibration-procedure-code
- 用双目摄像机实现对图像的标定，进而获取摄像机的内外参数矩阵-Binocular camera image calibration, and thus access to the camera s internal and external parameters matrix
trackingdemo625
- 利用opencv在VC6.0环境下编程，能实现交通视频中的车辆单目标跟踪，跟踪效果较好。-Using opencv programming in VC6.0 environment,single target tracking of vehicles in traffic video will be achieves , and the tracking performance is better.
c
- 用OpenCV实现的灰度图像细化，在VS2008环境下。-This is codes of image thinningusing OpenCV,under envionment of VS2008.
RealtimeVideo
- 基于VS2008和opencv 1.0的人群检测系统.该系统使用距特征检测人体，并计算人群密度。-the peopel dection system based on vs2008 and opencv.The system can estimate the population and the density of the crowd.
CB2010_OpenCV
- 真正可以在c++ builder 2010 下编译的Opencv文件。压缩包中包含必须的dll,lib和h文件，并有OpenCVExample.cbproj可测试运行，具体信息见doc文档。-The real opencv project in c++ builder 2010. the attachment consists of the needed dll,lib and h files. the OpenCVExample.cbproj can be open and run. the
Prosac
- 用opencv2.3.1+vs2008实现PROSAC算法。PROSAC是比ransac算法更快的剔除无匹配算法。前提是，这种策略的前提是假定匹配度高的特征是内点的概率比匹配度低的特征要高。 -With opencv2.3.1+ vs2008 realize PROSAC algorithm. PROSAC is faster than ransac algorithm of eliminate no matching algorithms. Premise is, this strategy