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Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition
[article]
2021
arXiv
pre-print
Facial expressions recognition (FER) of 3D face scans has received a significant amount of attention in recent years. Most of the facial expression recognition methods have been proposed using mainly 2D images. These methods suffer from several issues like illumination changes and pose variations. Moreover, 2D mapping from 3D images may lack some geometric and topological characteristics of the face. Hence, to overcome this problem, a multi-modal 2D + 3D feature-based method is proposed. We
arXiv:2105.05708v1
fatcat:hpialfljerdafe4o2eborj27a4