FLDbasedFaceRecognitionSystem_v2

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:256KB
下载次数:48
上传日期:2009-05-31 17:10:10
上 传 者p7p7p7
说明:  基于fisherface的人脸图像识别,采用lda降维的方法来识别人脸图像
(This package implements a well-known FLD-based face recognition method, which is called Fisherface [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample script is included to showe their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run CreateDatabase function to create 2D matrix of all training images. 4. Run FisherfaceCore function to produce basis s of facespace. 5. Run Recognition function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of face94 Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example work path of your MATLAB root). Then follow dialog boxes, which will appear upon running examp)

文件列表:
FLD_based Face Recognition System_v2\CreateDatabase.m (1858, 2009-05-31)
FLD_based Face Recognition System_v2\example.m (1295, 2009-05-25)
FLD_based Face Recognition System_v2\FaceR\1.jpg (6391, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\10.jpg (4223, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\11.jpg (5967, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\12.jpg (5870, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\13.jpg (4363, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\14.jpg (4360, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\15.jpg (6681, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\16.jpg (6693, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\17.jpg (5417, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\18.jpg (5448, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\19.jpg (6827, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\2.jpg (6219, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\20.jpg (6746, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\3.jpg (6046, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\4.jpg (6195, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\5.jpg (5826, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\6.jpg (5986, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\7.jpg (6507, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\8.jpg (6506, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\9.jpg (4285, 1994-10-05)
FLD_based Face Recognition System_v2\FaceR\Thumbs.db (73728, 2009-05-24)
FLD_based Face Recognition System_v2\FaceS\1.jpg (6264, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\10.jpg (6852, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\2.jpg (6007, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\3.jpg (5680, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\4.jpg (6525, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\5.jpg (4341, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\6.jpg (5876, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\7.jpg (4352, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\8.jpg (6725, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\9.jpg (5570, 1994-10-05)
FLD_based Face Recognition System_v2\FaceS\Thumbs.db (36864, 2009-05-24)
FLD_based Face Recognition System_v2\FisherfaceCore.m (4602, 2007-10-27)
FLD_based Face Recognition System_v2\Recognition.m (2205, 2007-10-21)
FLD_based Face Recognition System_v2\FaceR (0, 2009-05-24)
FLD_based Face Recognition System_v2\FaceS (0, 2009-05-24)
FLD_based Face Recognition System_v2 (0, 2009-05-31)
... ...

'Fisherface' Face Recognition System Written by: Amir Hossein Omidvarnia Email: aomidvar@ece.ut.ac.ir This package implements a well-known FLD-based face recognition method, which is called 'Fisherface' [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample script is included to showe their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run 'CreateDatabase' function to create 2D matrix of all training images. 4. Run 'FisherfaceCore' function to produce basis's of facespace. 5. Run 'Recognition' function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of 'face94' Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example 'work' path of your MATLAB root). Then follow dialog boxes, which will appear upon running 'example.m'. I would like to cite persons below, as their materials were very helpful in preparing this package: 1. Hongcheng Wang,Beckman Institute, UIUC because of his useful presentation: "Facial Recognition as a Pattern Recognition Problem" 2. Alan Brooks (in collaboration with Li Gao), Final Project Report submitted on June 9, 2004 for ECE 432 Computer Vision with Professor Ying Wu Enjoy it! References: [1] P. N. Belhumeur, J. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. In ECCV (1), pages 45--58, 1996. [2] Available at: http://cswww.essex.ac.uk/mv/allfaces/faces94.zip

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