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Table 1 Recognition results for the CK+ database

From: Multithreading cascade of SURF for facial expression recognition

Method

Accuracy on CK+ (%)

 
 

An

Co

Di

Fe

Ha

Sa

Su

mAP.

CLM [15]

70.1

52.4

92.5

72.1

94.2

45.9

93.6

74.4

LBP-TOP [12]

82.2

77.8

91.5

72.0

98.6

57.1

97.6

82.4

HOE [13]

76.4

65.4

83.6

73.3

92.1

88.6

92.8

82.3

HOG 3D [14]

84.4

77.8

94.9

68.0

100

75.0

98.8

85.6

ITBN [35]

91.1

78.6

94.0

83.3

89.8

76.0

91.3

86.3

LSH-CORF [36]

71.3

–

90.8

79.0

92.6

90.5

96.6

86.8

3D LUT [6]

76.3

35.1

60.5

73.8

91.0

48.2

92.8

68.2

3DCNN-DAP [34]

91.1

66.7

96.6

80.0

98.6

85.7

96.4

87.9

PLBP [33]

–

–

–

–

–

–

–

96.7

McSURF (3T)

91.6

70.2

84.9

86.3

94.6

88.4

96.5

87.5

McSURF (OD)

96.1

74.6

86.2

92.5

98.2

94.1

96.4

91.2

  1. The boldface data are the best results in their items