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Table 6 Comparison of classification rates with state-of-the-art method on Stirling and Bosphorus datasets

From: 3-Dimensional facial expression recognition in human using multi-points warping

AuthorMethodDatasetClassifierAccuracy (%)
[39]Local shape descriptorBosphorusRANSAC93.40
[40]KMTSBosphorusTPWCRC98.90
[41]Face augmentation techniqueBosphorusCNN99.20
[42]Geometric frameworkBosphorus87.06
[38]Extended SIFT-like matchingBosphorus98.80
[6]3D-PSFDLDA83.60
[52]Differential Evolution based optimizationBosphorusSVM84.00
[44]Extended LBPBosphorusSVM76.98
[43]Covariance matrices of descriptorsBosphorusSVM86.17
This workMulti-points warpingStirling/ESRCLDA99.58
BosphorusLDA99.32