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Table 2 Verification rate at and in parenthesis the relative contribution that automatic registration has in comparison with manual registration on FRGC [4, Experiment ], comparing all registration methods using all face classifiers. The best automatic registration is achieved using user-independent SHR using low-resolutions, this often performs even better than manual registration.

From: Subspace-Based Holistic Registration for Low-Resolution Facial Images

Face Classifier

FAR

Viola-Jones (high resolution)

MLLL + BILBO (high resolution)

SHR (low-resolution)

Manual

PCA Mah

1%

57.3% (8.9%)

67.4% (+1.3%)

68.1% (+2.0%)

66.2%

 

0.1%

44.5% (5.8%)

52.9% (+2.6%)

54.0% (+3.3%)

50.3%

 

0.01%

34.0% (3.4%)

40.9% (+3.4%)

42.2% (+4.7%)

37.5%

PCA MahCos

1%

73.2% (13.8%)

85.2% (1.7%)

87.9% (+2.0%)

87.0%

 

0.1%

57.4% (10.8%)

68.2% (0.0%)

71.9% (+3.3%)

68.2%

 

0.01%

39.7% (9.3%)

47.4% (+4.1%)

50.7% (+4.7%)

43.3%

Likelihood ratio

1%

86.7% (10.1%)

94.0% (2.8%)

95.9% (0.9%)

96.8%

 

0.1%

76.9% (13.9%)

86.9% (4.7%)

91.0% (+0.2%)

90.8%

 

0.01%

65.5% (14.8%)

77.2% (3.1%)

82.5% (+2.2%)

80.3%

Adaboost

1%

86.5% (8.4%)

93.5% (1.4%)

94.1% (0.8%)

95.0%

 

0.1%

78.3% (10.5%)

87.1% (1.7%)

87.9% (1.0%)

88.9%

 

0.01%

69.8% (11.1%)

78.9% (2.0%)

80.1% (0.8%)

80.9%