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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

Author Method Dataset Classifier Accuracy (%)
[39] Local shape descriptor Bosphorus RANSAC 93.40
[40] KMTS Bosphorus TPWCRC 98.90
[41] Face augmentation technique Bosphorus CNN 99.20
[42] Geometric framework Bosphorus 87.06
[38] Extended SIFT-like matching Bosphorus 98.80
[6] 3D-PSFD LDA 83.60
[52] Differential Evolution based optimization Bosphorus SVM 84.00
[44] Extended LBP Bosphorus SVM 76.98
[43] Covariance matrices of descriptors Bosphorus SVM 86.17
This work Multi-points warping Stirling/ESRC LDA 99.58
Bosphorus LDA 99.32