资源列表
Watershedalgorithm
- Watershed Algorithm(分水岭算法)，顾名思义，就是根据分水岭的构成来考虑图像的分割。现实中我们可以或者说可以想象有山有湖的景象，那么那一定是水绕山，山围水的情形。-Watershed algorithm
chartdir_cpp_win64
- this the character recognition source code by using openCV.-this is the character recognition source code by using openCV.
facerecon
- opencv人脸识别 LBPH 自动拍下人脸，并析别后面每一帧的脸。 环境是opencv 2.45-opencv face recognition LBPH automatically captured and analyzed for each frame behind the other' s face.
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- 该文件在VS2010下可完美运行，可用来检测人脸及眼睛。-The file can be run perfectly under VS2010, can be used to detect human faces and eyes.
text5
- 此程序在VS2010下可完美运行对一段视频中运动物体检测并将物体圈出-This program can be run perfectly on a video moving object detection and object circled in VS2010
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- 该程序在VS2010环境下能起到检测一幅图片里的特征点-The program in VS2010 environment can play a picture in the detection of characteristic points
Detailed-tracking-source
- 如果要跟踪的物体颜色和背景色有较大区别，可用基于颜色的跟踪 如CAMSHIFT 鲁棒性都是较好的。 此源码是一个opencv自带的CamShift算法使用工程实例（有非常详细的注释）。该实例的作用是跟踪摄像头中目标物体，目标物体初始位置用鼠标指出，其跟踪窗口大小和方向随着目标物体的变化而变化。-If you want to track the object color and background color is quite different, color-based tracking is
lbp
- 在opencv里实现局部二值算子，它是一种纹理描述算子，度量和提取图像局部的纹理信息，对光照具有不变性-Achieve local binary operator in opencv where it is a texture descr iption operator, local measure and extract image texture information, illumination invariance
基于OpenCV 2.X提升小波变换类
- 基于提升小波变换算法的C++类，利用OpenCV 2.x实现
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- bmp转换为avi，使用OpenCV实现-transform bmp to avi by OpenCV
PCA
- 用OPENCV实现了人脸识别系统，采用ORL人脸库进行测试，选择每个身份前5张做训练图，一共200个训练样本。-OPENCV achieved using face recognition system that uses the ORL testing, each identity before choosing to do training Figure 5, a total of 200 training samples.
opencv-training-display
- opencv训练过程中的命令行显示 主要是各参数代表的意义说明-opencv training process command-line display