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haar分类器检测人脸
- haar classifiers以及人脸检测的代码。需要用到opencv！
HarrDetect
- adaboost 人脸检测，实现批量检测功能，并统计分类器性能-adaboost face detection, to achieve mass detection and performance of statistical classification
haarcascade_frontalface_alt2
- OpenCV人脸检测分类器，Haar 特征-OpenCV face recognition classier，Haar features
human_face_detection_system
- 本文的目的是借助Paul Viola最新提出的实时特征检测的技术，实现一个能够进行快速人脸检测的系统。并且通过训练，得到尽可能优化的分类器构造参数，从而获得具有高检测速度和检测正确率的人脸检测系统。-The purpose of this paper by drawing on the latest proposed by Paul Viola real-time feature detection technology, to realize a fast face detection sys
Face
- 【原创】VS2008开发，基于OpenCV的人脸检测程序 从摄像头获取图像，人脸检测后输出。 “输出”文件夹中的XML文件为分类器，可以修改代码载入不同的分类器，牛人也可制作自己的分类器。-【原创】 OpenCV-based Face Detection procedure to obtain images from the camera, after the face detection output. " Output" folder for the classif
FaceDetectionDlg
- 应用OpenCV进行人脸检测。Adaboost算法实现起来比较复杂，应用OpevCV提供的函数和分类器进行人脸检测将十分容易。-Application of OpenCV for face detection. Adaboost algorithm to achieve more complex, applications provided by OpevCV function and classifier for face detection will be very easy.
facedetection
- PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
train_v2
- 一个基于adaboost的人脸检测分类器训练程序，用MATLAB写的，希望能和大家分享-a face detect programme based on adaboost which is written by matlab
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
haarcascade_frontalface_alt
- 前脸的分类器 人脸检测分类器，opencv用-Before the face of face detection classifier classifier, opencv with
haarcascade_frontalface_alt2
- 前脸的检测，分类器，训练分类器，人脸检测，opencv-Prior to face detection, classification, and the training classifier, face detection, opencv
wode
- 可以使用cv里面自带的分类器进行人脸检测，效果不错-Cv can be used inside the built-in classifier for face detection, good results
MilTracker-V1.0
- 人脸检测，多实例,取多个实例来提取特征，形成一个特征池，分类器仍然是用级联生成，检测效果好，准确率比较高。-Face detection, multi-instance, take multiple instances to extract features, to form a feature pool with cascading classifier is still generating, testing effective, relatively high accuracy.
adaboost
- Adaboost训练分类器的源代码，是快速人脸检测的必备。-It is the code for training classifiers by Adaboost to Face Detection
test2
- 基于haarlike特征，采用adaboost分类器的人脸检测系统-face detec
Adaboost-detection
- 基于ADABOOST的人脸检测程序，有分类器训练和测试-face detection based on adaboost
Attrain_v2d
- 一个基于adaboost的人脸检测分类器训练程序，用MMATLAB写的，希望能和大家分享，已通过测试。 -Based on the human face detection adaboost classifier training procedures, written in MMATLAB, and we hope to share, has been tested.
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
CascadeClassifier
- 用CascadeClassifier分类器进行人脸检测(Face detection using CascadeClassifier classifier)
人脸检测OPENCV
- 使用VS2013编写+OPENCV2.49，能够读取图片并识别人脸，采用 分类器制作，调试通过，也可以改为摄像头