NDLI: Individual-free representation-based classification for facial expression recognition

Content Provider	Springer Nature Link
Author	Sun, Zhe Hu, Zheng ping Wang, Meng Zhao, Shu huan
Copyright Year	2016
Abstract	Facial expression recognition (FER) plays a significant role in human–computer interaction. However, in FER applications, the samples are usually corrupted by individual differences, which affect the classification result to some extent. This paper proposes an individual-free representation-based classification, which utilizes the variation training set (VTS) and the virtual variation training set (VVTS) to remit the side-effect caused by individual differences. The VTS and VVTS are both generated from the original training set and show possible variation of the expression. The new approach performs low-rank decomposition-based singular value decomposition for both VTS and VVTS, and then integrates them to determine the label of the query sample. This promising performance is mainly attributed to the fact that VTS and VVTS used in the proposed method can exploit limited original training set to produce a large possible expression variation. Experimental results show that the proposed method can achieve better performance than most of the competitive FER methods, e.g., SVM, SRC, CRC, LRC and the method in Lee et al.
Starting Page	597
Ending Page	604
Page Count	8
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	11
Issue Number	4
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2016-10-26
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Facial expression recognition variation training set Virtual variation training set Individual-free representation Signal,Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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