Geometric-Convolutional Feature Fusion Based on Learning Propagation for Facial Expression Recognition

Facial expression is the main approach for humans to express their emotions. It is the temporal-spatial information that can be recognized by computers. In this paper, three video-based models are proposed for the facial expression recognition system (FERS). First, a differential geometric fusion ne...

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Bibliographic Details
Main Authors: Yan Tang, Xing Ming Zhang, Haoxiang Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8417316/