Table 4.
Classification Accuracy of various texture based descriptors over a dataset KinfaceW-II.
Method | Feature | F–S | F-D | M-S | M-D | Mean |
---|---|---|---|---|---|---|
CSML | LBP | 63.7 | 61.2 | 55.4 | 62.4 | 60.7 |
LE | 61.1 | 58.1 | 60.9 | 70.0 | 62.5 | |
SIFT | 66.5 | 60.0 | 60.0 | 56.4 | 59.8 | |
TPLBP | 57.3 | 61.5 | 63.2 | 57.0 | 59.7 | |
NCA | LBP | 61.7 | 62.2 | 56.4 | 62.4 | 60.7 |
LE | 62.1 | 57.1 | 61.9 | 69.0 | 62.3 | |
SIFT | 67.5 | 61.0 | 61.0 | 57.4 | 60.8 | |
TPLBP | 56.3 | 60.5 | 62.2 | 56.0 | 58.7 | |
LMNN | LBP | 62.7 | 63.2 | 57.4 | 63.4 | 61.7 |
LE | 63.1 | 58.1 | 62.9 | 70.0 | 63.3 | |
SIFT | 69.5 | 63.0 | 63.0 | 59.4 | 62.8 | |
TPLBP | 57.3 | 61.5 | 63.2 | 57.0 | 59.7 | |
NRML | LBP | 62.7 | 60.2 | 54.4 | 61.4 | 59.7 |
LE | 66.1 | 59.1 | 58.9 | 68.0 | 63.0 | |
SIFT | 65.5 | 59.0 | 55.5 | 55.4 | 58.8 | |
TPLBP | 56.3 | 60.5 | 56.0 | 62.2 | 58.7 | |
NRML + Proposed WFBT-SBP | WFBT-SBP | 77.40 | 77.33 | 77.98 | 77.94 | 77.66 |