搜索资源列表
OpenCV
- 用OpenCV实现棋盘格的标定。文件夹中有处理的效果图
CandideDemo
- 加强的三维人脸程序支持键盘和鼠标旋转，使用vc++和opencv实现
图像分割
- 下面是OPENCV B4.0 附带的 FLOOD FILL 算法的源代码样例，可以实现简单的彩色图像分割。-Below are OPENCV B4.0 incidental FLOOD FILL algorithm source code for example, can achieve a simple color image segmentation.
lhgcxgmm.rar
- 自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
camshift
- 基于opencv的camshift算法实现运动物体的跟踪，平台为vc6.0.加载avi格式视频，通过鼠标点击确定跟踪物体的大小和区域。-Opencv of camshift algorithm based on moving object tracking, platform vc6.0. Load avi format video, object tracking by mouse click to determine the size and area.
Lightcab
- 用opencv编写的一段程序，实现带关照的茶壶，一级多菱角的立体和救生圈样物体。-Opencv written with a program to achieve the teapot with care, more than one water chestnut-like objects in a three-dimensional and Lifebuoy.
ocam3stre
- 一个用OpenCV实现双摄像机立体视觉的程序源码，需要有OpenCV的支持，非常简单易懂的程序源码，已通过测试。-OpenCV implementation of a dual camera with stereo program source code, need the support of OpenCV, very easy to understand the program source code, has been tested.
reconstruct-suface-patch-by-opengl
- 对物体表面进行投影算法的重建，基于OpenCV和OpenGL来实现，算法本身比较简单，适于初学者参考-The projection of the surface reconstruction algorithm, based on OpenCV and OpenGL to implement the algorithm itself is relatively simple, suitable for beginners reference
tract
- OpenCv实现视频中运动物体跟踪 三帧差法 滤波 绘制矩形框区-OpenCv tracking moving objects in video three difference method draws a rectangle filtering area
opencv
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文 3. opencv版本运行：按P停止，截取目标，再按P，进行单目标跟踪-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 16* 16* 16 2
simpleAR
- 该项目利用了opencv和openGL实现了简单的增强现实的功能。(The project makes use of OpenCV and OpenGL to implement simple augmented reality capabilities.)
facedetectpcaVC6
- 利用vc6.0+opencv实现人脸识别(Using vc6.0+opencv to realize face recognition)