@inproceedings{c79ac857a193475ba6eb26e27d348624,
title = "Human expression recognition using facial shape based Fourier descriptors fusion",
abstract = "Dynamic facial expression recognition has many useful applications in social networks, multimedia content analysis, security systems and others. This challenging process must be done under recurrent problems of image illumination and low resolution which changes at partial occlusions. This paper aims to produce a new facial expression recognition method based on the changes in the facial muscles. The geometric features are used to specify the facial regions i.e., mouth, eyes, and nose. The generic Fourier shape descriptor in conjunction with elliptic Fourier shape descriptor is used as an attribute to represent different emotions under frequency spectrum features. Afterwards a multi-class support vector machine is applied for classification of seven human expression. The statistical analysis showed our approach obtained overall competent recognition using 5-fold cross validation with high accuracy on well-known facial expression dataset.",
keywords = "Elliptic Fourier shape descriptor, Facial expression recognition, Generic Fourier shape descriptor",
author = "Shahid, {Ali Raza} and Shehryar Khan and Hong Yan",
note = "Funding Information: This work is supported by the Hong Kong Research Grants Council (Project C1007-15G) and City University of Hong Kong (Project 9610034). Publisher Copyright: {\textcopyright} 2020 SPIE.; 12th International Conference on Machine Vision, ICMV 2019 ; Conference date: 16-11-2019 Through 18-11-2019",
year = "2020",
doi = "10.1117/12.2557450",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wolfgang Osten and Dmitry Nikolaev and Jianhong Zhou",
booktitle = "12th International Conference on Machine Vision, ICMV 2019",
}