搜索资源列表
FaceTracking
- 使用OPENCV库实现的人脸跟踪，需要安装OPENCV。输入源可以是视频，也可以是摄像头。可选择Harr特征和CamShift两种方法对人脸进行跟踪。还提供了视频保存的功能。-Library implemented using OPENCV Face Tracking, need to install OPENCV. Input source can be a video camera can also be. Harr features and CamShift choose two meth
CornerDetect
- 使用OpenCV检测五子棋盘角点,采用Harr算子进行角点检测-Corner detection using OpenCV
Training-methods-in-OpenCV-Harr
- OpenCV 中Harr训练方法，大批研究生学习期间需要用到的方法-Training methods in OpenCV Harr, a large number of graduate students studying the methods need to use
HarrisCorner
- 利用openCV找出已知图像中的角点， 利用slider bar 控制临界值， 并显示出通过临界值的角点像素， 并用non-maxima suprression 使之变稀疏并显示-routines in OpenCV to demonstrate the operations of the Harris Corner detector. 1. Open the image box_in_scene.jpg and show the image in a window. 2. Compute
harris-detect
- 基于openCV的Harris角点检测。开发环境vs2008-harris detector based on openCV.
Harris
- OpenCV编写的Harris角点提取函数-Harris prepared OpenCV corner detection function
feature-points
- Harris，FAST，Eigen 3种特征点提取方法的比较，开发平台是vs2005和opencv-Harris, FAST, Eigen 3 kinds of feature point extraction method comparison, the development platform is vs2005 and opencv
ObjectMaker
- 用于opencv制作harr分类器的时候用于处理数据的一个小工具-For the production of harr classifier opencv for handling data when a gadget
facedetection
- 人脸检测，经典的运用harr特征，分类器，opencv-face detection
facedetection
- 基于harr特征opencv人脸检测，在opencv环境下使用-face detection using opencv
CT_CPP_sq_v1
- 基于OpenCV的CompressiveTracking（压缩感知目标跟踪算法） C++ 代码，利用Harr特征，在特定场景下有较好的跟踪效果。-To Harr characteristics based the OpenCV s CompressiveTracking (compressed sensing, target tracking algorithm) C++ code
main
- 用Harr特征分类器进行人脸检测，级联分类器 采用opencv中已经完成的人脸训练模型-Harr features classifier using face detection, cascade classifier has been completed using opencv face training model
samples
- opencv sample 代码包括一些图像处理的，利用Harr和分类器做人脸检测的-opencv 3.0 alpha sample code which include classical samples like face detection/image processing.
checkface
- opencv的harr的人脸检测，完整代码可直接运行。-opencv face dection