NDLI: Customizable facial expression recognition using non-negative matrix factorization

Content Provider	IEEE Xplore Digital Library
Author	Yuan-Hsiang Chang Gong-Yun Jheng
Copyright Year	2011
Description	Author affiliation: Department of Information and Computer Engineering, Chung Yuan Christian University, Chung-Li, Taiwan (Yuan-Hsiang Chang; Gong-Yun Jheng)
Abstract	Automatic recognition of facial expression remains a challenging task in computer vision, because of large amount of image data and subtle difference in facial expressions. In this paper, we present a customizable system for facial expression recognition using non-negative matrix factorization (NMF). Our system can be described in two major phases: the first phase uses preprocessing and the NMF for decomposing facial expression images into a set of basis images; the second phase incorporates dimensionality reduction and similarity to classify if an input image depicts one of the five facial expressions (i.e., normal, smile, sad, surprise, and angry) given known facial expressions as template images. Our results clearly demonstrate that the system was able to provide an effective basis for characterizing facial feature regions and reasonable classification in various facial expressions.
Starting Page	2088
Ending Page	2091
File Size	543759
Page Count	4
File Format	PDF
ISBN	9781424481620
e-ISBN	9781424481651
DOI	10.1109/ICECENG.2011.6057717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Gold Computer vision Facial expression recognition Face recognition Conferences Non-negative matrix factorization Image processing Educational institutions Principal component analysis
Content Type	Text
Resource Type	Article

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