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 |