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PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
lbp
- LBP（局部二值模式）算法最初用于描述纹理，后引用到人脸，可描述人脸特征。-LBP (local binary mode) algorithm was originally used to describe the texture, the latter a reference to the human face, facial feature can be described.
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
realadaboost
- matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。-Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning
tezhenglian
- 用于特征脸识别的MATLAB经典代码，本科毕业设计所做，调试成功，运行结果理想-Face Recognition MATLAB for feature classic code, doing graduate design, debugging success, the results are satisfactory
Facial-feature-detection
- 程序实现人脸特征的检测和定位，可以识别并标注眉毛，眼睛，鼻子，嘴巴以及耳朵。能用于单人和多人脸图的检测识别，效果不错。-This is a human facial feature detection and location program. It can be applied to detect both single and multiple face images.
pca
- PCA算法的人脸识别代码，主要实现特征脸的提取和人脸的识别。-PCA face recognition algorithm code, the main achievement of face recognition feature extraction and face.
lbp1
- 局部二值模式（LBP），用于人脸识别局部文理特征的提取-Local binary pattern（ LBP）, local arts and feature extraction for Face Recognition
basew_zaseh_face
- eigenfaces,基于特征脸的人脸识别的一个例子,入门级别,-Eigenfaces, an example of face recognition based on feature face, entry level,