搜索资源列表
人脸检测算法
- 2dpca，用于图象特征的提取，及人脸检测算法
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.
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
PCA
- C语言源程序，PCA人脸识别算法，主要是eig特征分量选取的源程序和欧式空间匹配程序、特征脸提取程序-C language source code, PCA face recognition algorithm, eig characteristic component selected source and match the European space program, eigenface extraction procedures
face_lbp
- LBP纹理特征提取，主要是针对人脸表情的动态纹理特征进行分类！-LBP texture feature extraction, the main classification dynamic texture feature recognition is facial expression!
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