基于PCA和SVM的人脸识别系统
所属分类：matlab编程
开发工具：matlab
文件大小：9155KB
下载次数：7
上传日期：2019-12-10 19:50:20
上 传 者：
有始有终
说明： 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别
(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)
文件列表:
基于PCA和SVM的人脸识别系统 (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\classify.asv (636, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\classify.m (678, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\composite.tiff (207960, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s1 (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10 (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\1.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\10.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\2.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\3.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\4.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\5.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\6.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\7.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\8.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s10\9.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11 (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\1.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\10.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\2.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\3.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\4.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\5.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\6.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\7.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\8.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s11\9.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12 (0, 2017-08-19)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\1.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\10.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\2.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\3.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\4.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\5.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\6.pgm (10318, 2012-06-23)
基于PCA和SVM的人脸识别系统\FaceRec\Data\ORL\s12\7.pgm (10318, 2012-06-23)
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The ORL face database
---------------------
This directory contains a set of faces taken between April 1992 and
April 1994 at the Olivetti Research Laboratory in Cambridge, UK.
There are 10 different images of 40 distinct subjects. For some of the
subjects, the images were taken at different times, varying lighting
slightly, facial expressions (open/closed eyes, smiling/non-smiling)
and facial details (glasses/no-glasses). All the images are taken
against a dark homogeneous background and the subjects are in
up-right, frontal position (with tolerance for some side movement).
The files are in PGM format and can be conveniently viewed using the 'xv'
program. The size of each image is 92x112, 8-bit grey levels. The images
are organised in 40 directories (one for each subject) named as:
sX
where X indicates the subject number (between 1 and 40). In each directory
there are 10 different images of the selected subject named as:
Y.pgm
where Y indicates which image for the specific subject (between 1 and 10).
When using these images, please give credit to Olivetti Research Laboratory.
A convenient reference is the face recognition work which uses some of
these images:
F. Samaria and A. Harter
"Parameterisation of a stochastic model for human face identification"
2nd IEEE Workshop on Applications of Computer Vision
December 1994, Sarasota (Florida).
The paper is available via anonymous ftp from quince.cam-orl.co.uk and is
stored in pub/users/fs/IEEE_workshop.ps.Z
If you have any question, please email Ferdinando Samaria: fs@cam-orl.co.uk
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