NDLI: Facial expression recognition using the spectral graph wavelet

Content Provider	IET Digital Library
Author	Meena, Hemant Kumar Sharma, Kamalesh Kumar Joshi, Shiv Dutt
Abstract	The authors propose a method to recognise facial expressions based on graph signal processing (GSP) techniques. Facial expressions are characterised by local patterns in the facial regions such as eyes, lips etc. and interrelationships among them. A facial expression recognition algorithm needs to capture these variations in the facial regions at the local level and the interrelationships of these regions at the global level. Hence, in the authors’ opinion, GSP seems to be an appropriate tool for the purpose. In this study, a novel method is presented which makes use of graph signals to represent the facial regions. They leverage spectral graph wavelet transform to extract information for creating the feature descriptor. Here, different types of two-channel and three-channel filter banks have been used by setting the weights of their channels for finding the optimum performance of the recognition rate. Through simulation studies, it is observed that the use of Abspline filter bank provides the best result. The experimental investigations on the extended Cohn–Kanade (CK+) and the JAFFE datasets have been carried out and the results confirm the effectiveness of the proposed method in recognition rate improvement.
Starting Page	224
Ending Page	229
Page Count	6
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 2, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5087
Journal	IET Signal Processing
Publisher Date	2018-10-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Abspline Filter Bank Channel Bank Filter CK+ Dataset Combinatorial Mathematics Computer Vision And Image Processing Technique Emotion Recognition Extended Cohn-Kanade Dataset Face Recognition Facial Expression Recognition Algorithm Facial Region Feature Descriptor Filtering Method in Signal Processing Graph Signal Processing Technique Graph Theory GSP Technique Image Recognition Integral Transforms JAFFE Dataset Local Pattern Recognition Rate Improvement Spectral Graph Wavelet Transform Three-channel Filter Banks Two-channel Filter Banks Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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