A New Feature Extraction and Recognition Method for Microexpression Based on Local Non-negative Matrix Factorization

A New Feature Extraction and Recognition Method for Microexpression Based on Local Non-negative Matrix Factorization

Microexpression is usually characterized by short duration and small action range, and the existing general expression recognition algorithms do not work well for microexpression. As a feature extraction method, non-negative matrix factorization can decompose the original data into different compone...

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Bibliographic Details
Main Authors: Junli Gao, Huajun Chen, Xiaohua Zhang, Jing Guo, Wenyu Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Neurorobotics
Subjects:
macro-expression
micro-expression
macro-to-micro transformation
feature extraction
non-negative matrix factorization
CK+/CASME2/SAMM datasets
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2020.579338/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2020.579338/full

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