Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition

Table 1

The performance comparison of different approaches on the CK + database.

Method	Accuracy
LBP TOP [41]	88.99
HOG 3D [16]	91.44
MSR [42]	91.40
STM-explet [43]	94.19
DTAGN [44]	97.27
3D-CNN-DAP [45]	92.4
NMF-SSCCA [46]	97.3
FER-MPI-SFL (baseline) [47]	98.2
(Ours)	98.95