Facial Expression Recognition Using Hybrid Features of Pixel and Geometry

Facial Expression Recognition Using Hybrid Features of Pixel and Geometry

Facial Expression Recognition (FER) has long been a challenging task in the field of computer vision. Most of the existing FER methods extract facial features on the basis of face pixels, ignoring the relative geometric position dependencies of facial landmark points. This article presents a hybrid...

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Bibliographic Details
Main Authors: Chang Liu, Kaoru Hirota, Junjie Ma, Zhiyang Jia, Yaping Dai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
long short-term memory network
relative geometric position dependency
hybrid feature
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9335586/

Internet

https://ieeexplore.ieee.org/document/9335586/

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