1 1:0.30735 2:-0.42811 3:0.83571 4:0.052559 5:0.011376 6:-0.25229 7:-0.41755 8:0.10793 9:-0.6214 10:0.47781 11:0.15428 12:-0.03198 13:0.39646 14:0.16257 15:0.46141 16:0.0071075 17:0.15714 18:0.17903 19:-0.18555 20:-0.10944
1 1:0.75062 2:-0.34899 3:-0.089142 4:-0.14879 5:-1 6:-0.19486 7:-0.61656 8:-0.33981 9:-0.3912 10:-0.063223 11:-0.20541 12:-0.24705 13:0.11082 14:-0.9858 15:0.3289 16:0.25528 17:0.50477 18:-0.03953 19:0.881 20:0.48404
1 1:0.65503 2:-0.25695 3:0.39877 4:0.18555 5:-0.0049113 6:-0.78797 7:-0.19873 8:-0.10501 9:-1 10:0.21194 11:0.16273 12:0.37172 13:-0.20164 14:-0.22345 15:0.59158 16:0.37962 17:-0.051169 18:-0.24077 19:-0.52957 20:-0.015555
1 1:0.80492 2:-0.42756 3:0.22032 4:-1 5:-0.19952 6:-0.79959 7:0.18604 8:0.49705 9:-0.11663 10:1 11:0.55443 12:0.085504 13:0.5082 14:-0.12338 15:-0.34598 16:-0.41613 17:-0.25138 18:-0.28992 19:-0.4265 20:0.63606
1 1:0.93616 2:-0.37775 3:0.28943 4:-0.77637 5:-0.2428 6:-0.5356 7:-0.23168 8:-0.19764 9:-0.20125 10:0.15272 11:0.01763 12:0.005676 13:0.23939 14:-0.86929 15:0.015389 16:-0.10946 17:0.16899 18:-0.15001 19:1 20:0.79987
2 1:0.17919 2:0.10545 3:0.72431 4:-0.21221 5:0.13694 6:-0.19476 7:0.52405 8:-0.032309 9:-0.44409 10:0.35109 11:0.16229 12:0.33637 13:-0.14363 14:-0.53019 15:0.77714 16:-0.33182 17:-0.12027 18:0.044556 19:-0.58913 20:-0.19864
2 1:0.13541 2:0.072136 3:0.74206 4:0.10334 5:0.087029 6:-0.18907 7:0.17963 8:-0.19965 9:-0.61436 10:-0.084454 11:0.18377 12:-0.069294 13:0.0037171 14:-0.68835 15:1 16:-0.2333 17:-0.047944 18:0.31739 19:-0.30013 20:-0.26213
2 1:0.21602 2:0.11088 3:0.63184 4:-0.050561 5:0.20494 6:-0.2379 7:0.37129 8:-0.093088 9:-0.68064 10:0.1007 11:0.21412 12:0.11297 13:-0.2044 14:-0.79223 15:0.81634 16:-0.23171 17:-0.27582 18:0.16553 19:-0.59167 20:-0.40553
2 1:0.12727 2:0.11868 3:0.72498 4:0.073644 5:0.084416 6:-0.22423 7:0.19663 8:-0.21615 9:-0.62138 10:-0.17517 11:0.1608 12:-0.041763 13:-0.044635 14:-0.57453 15:0.99227 16:-0.11495 17:-0.018032 18:0.2843 19:-0.33617 20:-0.075585
2 1:0.17762 2:0.054549 3:0.68467 4:-0.032753 5:-0.076314 6:-0.1758 7:0.37941 8:-0.039629 9:-0.54754 10:0.091465 11:0.13723 12:0.19647 13:0.36674 14:-0.50934 15:0.7817 16:-0.22577 17:0.070353 18:0.10225 19:-0.26392 20:0.01075
3 1:-0.10874 2:-0.239 3:-0.16797 4:-0.26408 5:0.53417 6:0.48635 7:-0.11967 8:-0.051977 9:-0.030884 10:-0.60206 11:-0.27395 12:-0.36117 13:0.23001 14:0.082984 15:0.13227 16:0.090856 17:-0.25932 18:0.094344 19:-0.59063 20:0.90311
3 1:-0.14214 2:-0.29077 3:-0.13327 4:-0.54998 5:0.49748 6:0.35057 7:-0.23558 8:-0.12836 9:0.24587 10:-0.65704 11:0.17637 12:-0.70342 13:0.019396 14:-0.48324 15:-0.12494 16:0.18438 17:-0.37151 18:0.29318 19:-0.70233 20:0.9643
3 1:-0.059988 2:-0.29645 3:-0.042532 4:-0.56243 5:0.59577 6:0.38087 7:-0.23483 8:-0.017501 9:0.04673 10:-0.67342 11:0.28526 12:-0.44811 13:0.12841 14:-0.18284 15:0.19418 16:0.011396 17:-0.28948 18:0.3708 19:-0.57311 20:1
3 1:0.15704 2:-0.047487 3:-0.3785 4:0.11465 5:0.43908 6:0.4507 7:-0.070635 8:0.34047 9:-0.097205 10:-0.055738 11:0.15367 12:-0.62065 13:0.3685 14:-0.0039973 15:0.31048 16:0.23869 17:-0.25605 18:0.25266 19:-0.08461 20:0.44866
3 1:0.2103 2:0.049226 3:-0.51991 4:0.18579 5:0.2869 6:0.27467 7:-0.2022 8:0.60222 9:0.012955 10:-0.073459 11:0.52421 12:-0.60269 13:0.3409 14:-0.099226 15:0.45545 16:-0.0003232 17:-0.14995 18:0.63488 19:-0.034429 20:0.39903
4 1:-0.18064 2:-0.27343 3:-0.147 4:0.13136 5:0.28309 6:0.70868 7:-0.26101 8:0.49038 9:0.00088191 10:0.046243 11:-0.095104 12:-0.20594 13:-0.26547 14:-0.18353 15:0.16605 16:0.10424 17:-0.09352 18:-0.46929 19:0.39012 20:-1
4 1:-0.12624 2:-0.22539 3:0.12444 4:-0.27093 5:0.3284 6:0.96814 7:-0.79395 8:0.034517 9:0.11391 10:-0.34728 11:0.27231 12:0.15193 13:-0.14421 14:-0.3534 15:0.63953 16:-0.066626 17:0.02619 18:-0.031757 19:0.056696 20:-0.77392
4 1:-0.060903 2:-0.1357 3:-0.13869 4:0.16928 5:0.28556 6:0.70939 7:-0.28052 8:0.60253 9:0.09618 10:0.26213 11:0.26629 12:-0.34779 13:-0.030637 14:-0.15823 15:0.081964 16:0.17068 17:-0.067325 18:-0.15838 19:0.37981 20:-0.8135
4 1:-0.045974 2:-0.51008 3:0.27626 4:-0.32363 5:0.39861 6:0.65683 7:-0.67152 8:0.19165 9:0.31675 10:0.085737 11:0.078105 12:0.37296 13:0.036336 14:0.034516 15:0.3946 16:-0.23885 17:-0.23399 18:-0.33553 19:-0.16463 20:-0.93323
4 1:-0.017583 2:-0.50372 3:0.38295 4:-0.53396 5:0.28476 6:0.8301 7:-0.69304 8:-0.098722 9:0.40132 10:-0.058522 11:0.41487 12:0.174 13:0.23066 14:-0.30154 15:0.52564 16:-0.41318 17:-0.49752 18:-0.020379 19:-0.12663 20:-0.26971
5 1:0.20703 2:-0.17462 3:-0.90166 4:0.18887 5:-0.26859 6:-0.052349 7:0.27703 8:0.066424 9:-0.081476 10:0.029236 11:0.1649 12:-0.62366 13:-0.26297 14:-0.1885 15:0.55485 16:0.59535 17:-0.14764 18:0.51668 19:-0.072389 20:-0.33418
5 1:0.22084 2:-0.23945 3:-0.75286 4:0.14665 5:-0.13262 6:0.14229 7:0.08977 8:-0.20356 9:-0.20316 10:-0.12774 11:-0.28593 12:0.075145 13:-0.23388 14:-0.014848 15:0.22689 16:0.34749 17:0.21697 18:0.30464 19:-0.32002 20:-0.22023
5 1:0.1668 2:-0.34556 3:-0.68321 4:0.025528 5:-0.15051 6:0.089227 7:0.12614 8:-0.32643 9:-0.12172 10:-0.21876 11:-0.042971 12:0.070495 13:-0.29787 14:-0.23378 15:0.27253 16:0.32363 17:0.50914 18:0.42003 19:-0.30752 20:-0.033025
5 1:0.18105 2:-0.12055 3:-0.91634 4:0.17235 5:-0.24645 6:-0.066466 7:0.24704 8:0.099566 9:-0.031056 10:-0.089474 11:0.15315 12:-0.53693 13:-0.36727 14:-0.31798 15:0.62547 16:0.59026 17:-0.17641 18:0.47697 19:-0.12844 20:-0.29534
5 1:0.33509 2:-0.60129 3:-0.42866 4:-0.19402 5:-0.25862 6:-0.15252 7:0.19009 8:0.065311 9:0.15101 10:0.47207 11:0.51482 12:-0.62478 13:-0.17285 14:-0.1682 15:0.36559 16:0.36558 17:-0.46747 18:0.25538 19:-0.13328 20:-0.26379
6 1:-0.41661 2:-0.65085 3:-0.4829 4:-0.17716 5:-0.68499 6:-0.51685 7:-0.55434 8:-0.65504 9:0.41066 10:0.054475 11:-0.19493 12:-0.26623 13:-0.060659 14:-0.27361 15:-0.08098 16:0.31161 17:0.11318 18:0.0049755 19:-0.32348 20:-0.041136
6 1:-0.42271 2:-0.57903 3:-0.5438 4:-0.15376 5:-0.7303 6:-0.71005 7:-0.59032 8:-0.64701 9:0.31001 10:0.0004289 11:-0.10519 12:-0.32942 13:0.031241 14:0.082564 15:0.040215 16:0.2955 17:0.18395 18:-0.28085 19:-0.38117 20:-0.19045
6 1:-0.38569 2:-0.67428 3:-0.45041 4:-0.13727 5:-0.6219 6:-0.4979 7:-0.46663 8:-0.48417 9:0.42216 10:0.051751 11:-0.43853 12:-0.40223 13:-0.13737 14:-0.29349 15:-0.13279 16:0.28426 17:0.050407 18:-0.11511 19:-0.37992 20:-0.10623
6 1:-0.24485 2:-0.89159 3:-0.22266 4:-0.27644 5:-0.90139 6:-1 7:-0.43981 8:-0.48212 9:0.47014 10:0.64142 11:0.13887 12:-0.56463 13:0.26331 14:0.23012 15:-0.209 16:-0.34505 17:0.2706 18:-1 19:-0.16751 20:0.050189
6 1:-0.22578 2:-1 3:-0.23945 4:-0.25097 5:-0.69545 6:-0.7516 7:-0.31993 8:-0.19513 9:0.47214 10:0.64842 11:-0.10135 12:-0.91992 13:0.13401 14:0.03356 15:-0.19829 16:-0.1434 17:-0.34009 18:-0.72164 19:-0.21375 20:0.0063169
7 1:-0.35882 2:-0.43002 3:0.68628 4:-0.54449 5:0.35696 6:-0.6936 7:0.54443 8:-0.14244 9:0.40176 10:-0.34212 11:-0.69148 12:-0.29259 13:-0.24503 14:-0.35021 15:0.13935 16:-0.1013 17:0.27261 18:0.95873 19:-0.23331 20:-0.31672
7 1:-0.36245 2:-0.15541 3:0.65459 4:-0.43949 5:0.43178 6:-0.45612 7:0.36432 8:0.033423 9:0.5013 10:-0.31282 11:-0.78443 12:-0.47754 13:-0.43951 14:-0.17617 15:0.4552 16:0.30917 17:0.048243 18:0.58602 19:-0.36595 20:0.16594
7 1:-0.30594 2:-0.48037 3:0.72196 4:-0.39217 5:0.2068 6:-0.64783 7:0.48666 8:0.055629 9:0.459 10:-0.34792 11:-0.8407 12:-0.40302 13:-0.21209 14:-0.26 15:0.1263 16:-0.14257 17:0.43464 18:0.76219 19:-0.24174 20:-0.2104
7 1:-0.24988 2:-0.50333 3:0.42753 4:-0.81709 5:0.27408 6:-0.44578 7:0.74905 8:-0.096796 9:0.14886 10:-0.17725 11:-0.6604 12:-0.21534 13:-0.057496 14:-0.21724 15:-0.024248 16:0.12167 17:0.16915 18:0.67935 19:-0.34901 20:-0.42114
7 1:-0.20527 2:-0.53114 3:0.62184 4:-0.87248 5:0.3344 6:-0.4584 7:0.73404 8:0.01903 9:0.33556 10:-0.13592 11:-0.54773 12:-0.3361 13:-0.24388 14:-0.4052 15:-0.052467 16:-0.065782 17:0.56978 18:0.52822 19:-0.173 20:-0.39895
8 1:-0.12914 2:-0.21919 3:0.30417 4:0.93432 5:0.21024 6:-0.67603 7:-0.18027 8:0.43884 9:0.20223 10:-0.15742 11:-0.054171 12:0.71777 13:
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基于PCA和SVM的人脸识别系统
共438个文件
pgm:400个
m:19个
mat:6个
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基于PCA和SVM的人脸识别系统 数字图像处理与机器视觉visual C++与MATLAB实现 书中demo
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基于PCA和SVM的人脸识别系统 (438个子文件)
multiSVMTrain.asv 2KB
multiSVMClassify.asv 1KB
export.asv 1KB
visualize_pc.asv 610B
approx.asv 362B
kfun_rbf.asv 228B
Thumbs.db 19KB
hs_err_pid1948.log 15KB
scaling.m 2KB
multiSVMTrain.m 2KB
FR_GUI.m 2KB
ReadFaces.m 2KB
train.m 2KB
multiSVMClassify.m 1KB
export.m 1KB
test.m 1KB
fastPCA.m 715B
classify.m 668B
visualize_pc.m 644B
displayImage.m 464B
Display_image.m 439B
approx.m 354B
GUIOpenFaceImage.m 311B
ReadAFace.m 248B
kfun_rbf.m 226B
GUIRecgFaceImage.m 200B
kfun_sigmoid.m 79B
multiSVMTrain.mat 3.81MB
FaceMat.mat 1.81MB
PCA.mat 1.54MB
trainData.mat 30KB
scaling.mat 561B
params.mat 221B
3.pgm 10KB
9.pgm 10KB
1.pgm 10KB
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