Facial Expression Recognition Based on Fusion Features of Center-Symmetric Local Signal Magnitude Pattern

Facial Expression Recognition Based on Fusion Features of Center-Symmetric Local Signal Magnitude Pattern

Local feature descriptors play a fundamental and important role in facial expression recognition. This paper presents a new descriptor, Center-Symmetric Local Signal Magnitude Pattern (CS-LSMP), which is used for extracting texture features from facial images. CS-LSMP operator takes signal and magni...

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Bibliographic Details
Main Authors: Min Hu, Chunjian Yang, Yaqin Zheng, Xiaohua Wang, Lei He, Fuji Ren
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
center-symmetric local signal magnitude pattern
local representation
feature fusion
Online Access:https://ieeexplore.ieee.org/document/8809766/

Internet

https://ieeexplore.ieee.org/document/8809766/

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