Description: PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
- [r-lda] - regard LDA Face Recognition Algorithm Im
- [2DPCA] - Two-dimensional PCA-face recognition- th
- [EGLD_ICA] - Learning independent component analysis
- [NearestNeighbor] - Matlab achieved by nearest neighbor algo
- [deboor-cox] - Objective Design and develop a intellige
- [KNN] - Rough set a very good code- I hope to pr
- [FaceRecognitionSystem] - matlab source code eigen face for face r
- [knn-cv-1-Source.tar] - KNN algorithm for C plus plus,this a goo
- [pca_knn] - The method of feature extraction using p
- [2DPCA_2DLDA] - 2DPCA and 2DLDA use in ORL face database
File list (Check if you may need any files):
homework
........\att_faces
........\.........\README
........\.........\s1
........\.........\..\1.pgm
........\.........\..\10.pgm
........\.........\..\2.pgm
........\.........\..\3.pgm
........\.........\..\4.pgm
........\.........\..\5.pgm
........\.........\..\6.pgm
........\.........\..\7.pgm
........\.........\..\8.pgm
........\.........\..\9.pgm
........\.........\s10
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s11
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s12
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s13
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s14
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s15
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s16
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm
........\.........\...\8.pgm
........\.........\...\9.pgm
........\.........\s17
........\.........\...\1.pgm
........\.........\...\10.pgm
........\.........\...\2.pgm
........\.........\...\3.pgm
........\.........\...\4.pgm
........\.........\...\5.pgm
........\.........\...\6.pgm
........\.........\...\7.pgm