搜索资源列表
Face_Recognition_opencv
- Face Recognition using OPencv. pdf file.
DDpca
- 2dpca源代码，用于人脸识别，直接作用于矩阵提取特征。-2dpca the source code for face recognition, feature extraction directly on the matrix.
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
LBPBasedFacedetectionandRecognition
- LBP算法在人脸识别中的应用，非常不错。-LBP algorithm in the application of face recognition is very good.
17869310facereganization
- the code is for face recognition in color images.
opencv_face_recognition
- 用opencv编写的人脸识别代码，很好的参考代码-Written with the opencv face recognition code, a good reference source
pca--lle
- 通过使用LLE PCA两种方法相结合的思路，提高人脸识别的分别率-LLE PCA by using the idea of combining two methods to improve face recognition rate difference
KL-base-face-recognition
- 通过KL变换实现特征提取从而达到表情识别以及人脸识别的目的-By KL Transform feature extraction so as to achieve the purpose of face recognition and face recognition
Handbook_Of_Face_Recognition_Springer_2005
- Library of Congress Cataloging-in-Publication Data Handbook of face recognition / editors, Stan Z. Li & Anil K. Jain. p. cm. Includes bibliographical references and index.-Library of Congress Cataloging-in-Publication Data Handbook of face re
face
- 图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
facetestData
- 一个人脸识别程序，基于matlab，最后可显示出识别率，比较好用-A face recognition program, based on matlab, the last show recognition rate may be relatively easy to use
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
AComparativeStudyonFaceRecognitionUsingLDA-BasedAl
- 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别 会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识 别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish— erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representat
Facerecognitionbasedonilluminationinvariant
- 基于光照不变量的人脸识别-Face Recognition,Based on Illumination Invariant
State2of2the2ArtonVideo2BasedFaceRecognition
- 基于视频的人脸识别研究进展-Video-based Face Recognition Research
LDA
- Complete Face Recognition System using LDA (with visiable training image set and testing image set-Complete Face Recognition System using LDA
VideoProj
- OpenCV 人脸识别示例，请将源码拷贝至E盘（具体路径，参见编译后提示） 请使用Debug模式编译-OpenCV Face Recognition sample, please copy the source code to the E site (the specific path, see the compiled tips), please use the Debug mode compilation
2010325952433
- 才用VB编写的关于人脸识别的一些算法 运行平台： Windows -Was prepared using VB some face recognition algorithm running on the platform: Windows
renlianshibie
- 基于LDA的人脸识别源代码，可以很方便的实现人脸识别-LDA-based face recognition source code, can easily realize face recognition
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.