Research Article
Face Recognition Using Double Sparse Local Fisher Discriminant Analysis
Table 3
The top recognition rates (%) and the corresponding dimensions on CMU PIE database by different methods (mean ± std).
| | | 3 trains | 6 trains | 9 trains | 12 trains | 15 trains |
| | PCA | 36.11 ± 0.85
() | 55.05 ± 0.94
() | 66.81 ± 2.08
() | 76.80 ± 1.66
() | 83.45 ± 1.77
() | | LDA | 78.40 ± 1.43
() | 87.70 ± 1.30
() | 90.17 ± 1.04
() | 91.67 ± 0.46
() | 92.37 ± 0.56
() | | LPP | 78.72 ± 1.19
() | 89.40 ± 0.96
() | 91.08 ± 0.86
() | 92.22 ± 0.52
() | 92.79 ± 0.65
() | | LFDA | 78.68 ± 1.49
() | 88.88 ± 1.09
() | 90.70 ± 0.68
() | 91.83 ± 0.51
() | 92.43 ± 0.58
() | | SPCA | 33.25 ± 0.60
() | 52.51 ± 1.05
() | 65.03 ± 2.14
() | 75.40 ± 1.97
() | 83.32 ± 2.02
() | | SLDA | 78.17 ± 1.38
() | 88.46 ± 1.23
() | 92.15 ± 1.09
() | 94.68 ± 0.36
() | 96.36 ± 0.73
() | | SPP | 75.11 ± 0.97
() | 87.26 ± 1.04
() | 90.59 ± 1.35
() | 93.42 ± 0.56
() | 95.36 ± 0.80
() | | DSNPE | 78.93 ± 1.11
() | 88.35 ± 1.22
() | 91.77 ± 1.28
() | 94.09 ± 0.60
() | 96.05 ± 0.49
() | | DSLFDA | 78.35 ± 1.24
() | 88.99 ± 1.20
() | 92.31 ± 1.10
() | 95.10 ± 0.47
() | 96.63 ± 0.62
() |
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