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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