搜索资源列表
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
gpml
- 使用高斯过程构建主动学习算法，对个人相册集进行分类(An active learning algorithm is constructed using the Gauss process to categorize individual photo albums)
fhmm1
- 可以将不同的人脸进行识别分类，使用隐马尔科夫算法实现较高的识别率(Different faces can be identified and classified, using hidden Markov algorithm to achieve higher recognition rate)
min——Classifier_dist_f
- 最小距离分类器，可以用于做对比算法，人脸识别中经常用(The minimum distance classifier can be used for comparison algorithms)
]ORL+PCA+SVM-11
- 编写了用户界面程序实现ocr人脸数据集的识别，使用了svm分类器(A user interface program is developed to realize the recognition of OCR face data set, and the SVM classifier is used)
CascadeClassifier
- 用CascadeClassifier分类器进行人脸检测(Face detection using CascadeClassifier classifier)
89123030face_recognition_adaBoost_M2
- 有级联分类器和haar特征和积分图，内部有matlab程序，适合初学者使用(There are cascading classifiers and Haar features and integral graphs, with MATLAB programs inside, suitable for beginners to use)
ABC-Matlab
- 通过人工蜂群优化算法对分类好的数据进行处理，对分类中的某个函数或参数进行修改(Artificial Bee Optimization)
hog_svm_facedet
- 使用hog特征以及svm分类实现人脸检测，准确率高(face detection used hog+svm)
lifeface
- 使用了于仕琪老师训练的分类器，使用vs2013-64位平台，图片需从配置管理器调试中手动输入(Using the classifier of teacher Yu Shiqi training, using the vs2013-64 bit platform, the picture needs to be manually entered from the configuration manager debug.)
ViolaJones_version0b_bin
- 用adaboost对人脸检测，利用haar特征对积分图像进行训练，得到强弱分类器(Face detection is done by AdaBoost, and integral image is trained by Haar feature, and the strong and weak classifier is obtained.)
Data
- 人脸识别图像集，用于人脸识别与分类，40类别，每类别5张，分训练和测试样本。(Face recognition image set is used for face recognition and classification. 40 categories, 5 for each category, are divided into training and testing samples.)
s1
- 识别给出图像与图像库中的图像进行比对识别分类(The recognition and classification of the image and the image in the image library are identified.)
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
最近邻分类器LBP
- 局部二值模式LBP+KNN分类方法人脸识别源代码,，内涵数据库，可运行(Local two value pattern LBP+KNN classification method, face recognition source code, connotation database, can be run)
2DPCA
- 基于ORL人脸库的2DPCA图像识别与人脸重建代码，采用最近邻域进行分类(2DPCA image recognition and face reconstruction code based on ORL face ,using the nearest neighbor classification.)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别，基于GMM的图像分割，使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
FDDL
- 基于Fisher字典学习的稀疏表示分类算法。(Sparse representation classification algorithm based on Fisher dictionary learning.)
基于PCA的人脸识别
- 使用PCA算法对人脸图像进行处理，使用adaboost算法训练分类器，对训练集中的20个人每人五张照片进行训练，对测试集中的同样多的照片进行识别，可以得到很高的识别率
httpd
- 人脸识别技术,支持智能比对和鉴定用户真实身份,轻松实现刷脸门禁,考勤,闸机,签到,会员识别,安防监控,相册分类,美颜,人脸支付,登录;(Face recognition technology supports intelligent comparison and identification of user's real identity. It can easily realize the brush face access control, attendance check, gate ma