Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding

Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding

Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper. The NNLS sparse coding is used to form a facial expression class...

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Bibliographic Details
Main Authors: Ying Chen, Shiqing Zhang, Xiaoming Zhao
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Information
Subjects:
non-negative least-squares
sparse coding
local binary patterns
facial expression recognition
Online Access:http://www.mdpi.com/2078-2489/5/2/305

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