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haarcascades
- opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等，出自专家之手，必属精品，CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
Eyes
- OpenCV HaarCascades files for Eyes detection
Face
- OpenCV HaarCascades files for frontal or side face detection
Mouth25x15
- OpenCV HaarCascades files for Mouth detection
Nose
- OpenCV HaarCascades files for Nose detection
A_gesture
- another xml for hand detection using opencv
haarcascades
- Several haarcascades
FACE_Detetion_Recognition
- 基礎的人臉識別程式，使用OpenCV,Boost與Qt，一樣使用haarcascades方法，內附Binary可使用。環境Visual C-Based face recognition program using OpenCV, Boost, and the Qt, the same use haarcascades methods included Binary can be used.
Frontal-Face-HaarCascades
- Frontal Face HaarCascades. Emgu CV face detection.
call-Video-achieve-face-detection
- 调用视频实现人脸识别。基于haarcascades+adaboost算法使用opencv实现-Call the video face recognition. Use opencv achieve haarcascades+adaboost algorithm
haarcascades
- 训练好的分类器，有人脸，人眼，倾斜的人脸等等。是基于haar特征的。-Trained classifier, it was the face, eye, face, and so inclined. Is based on haar feature.
HaarCascades
- HARCASCAD FUNCTION DETECT FACE VIOL AND GONS METHODE
haarcascades
- 此码源为训练后的人脸和人眼检测数据，可用于进行人脸和人眼检测-This code of face and eye detection data source for after training, can be used for face and eye detection
haarcascades
- 基于OpenCV harr级联分类器的人脸及眼睛、鼻子、嘴巴(Opencv_haar classifier)
haarcascades
- 可以在 opencv安装目录opencv\sources\data中找到。方便大家下载，故上传在这里。人脸检测，人脸识别，人眼检测，鼻子检测，嘴检测等等训练好的xml文件(You can find it in the opencv installation directory opencv\sources\data. Convenient for everyone to download, so upload here. Face detection, face recognition, eye
haarcascades
- 各种级联器，用于人脸识别，超级好用，欢迎下载。(Various cascaded devices are used in face recognition)
cvHaarDetectObjects
- 基于openCV的人脸检测Demo，级联分类器在openCV中找（opencv\sources\data\haarcascades）。(Face detection Demo based on openCV)
detectMultiScale
- 基于openCV的人脸检测实现，分类器在源码中（opencv\sources\data\haarcascades）(Face detection Demo based on openCV)