Automatic Facial Expression Analysis Using Face Action Units

The focus of this study is to develop a system that dealing with automatic recognition of facial expressions from single image by evaluating and then utilizing the most appropriate of the many images processing techniques currently available and where appropriate enhancing and developing new methodo...

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Main Author:	Chiang, Mee Li
Format:	Thesis
Published:	2013
Subjects:	TA Engineering (General) Civil engineering (General)
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id	my-mmu-ep.5584
record_format	uketd_dc
spelling	my-mmu-ep.55842014-06-16T02:25:01Z Automatic Facial Expression Analysis Using Face Action Units 2013-03 Chiang, Mee Li TA Engineering (General). Civil engineering (General) The focus of this study is to develop a system that dealing with automatic recognition of facial expressions from single image by evaluating and then utilizing the most appropriate of the many images processing techniques currently available and where appropriate enhancing and developing new methodologies and algorithms. The system is based on the knowledge and learning- based approaches; mainly consists of three main phases in the process of developing proposed system described in this thesis face tracking and detection, facial feature tracking and extraction, and facial expression analyzing and classification. 2013-03 Thesis http://shdl.mmu.edu.my/5584/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Information Science and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Chiang, Mee Li Automatic Facial Expression Analysis Using Face Action Units
description	The focus of this study is to develop a system that dealing with automatic recognition of facial expressions from single image by evaluating and then utilizing the most appropriate of the many images processing techniques currently available and where appropriate enhancing and developing new methodologies and algorithms. The system is based on the knowledge and learning- based approaches; mainly consists of three main phases in the process of developing proposed system described in this thesis face tracking and detection, facial feature tracking and extraction, and facial expression analyzing and classification.
format	Thesis
qualification_level	Master's degree
author	Chiang, Mee Li
author_facet	Chiang, Mee Li
author_sort	Chiang, Mee Li
title	Automatic Facial Expression Analysis Using Face Action Units
title_short	Automatic Facial Expression Analysis Using Face Action Units
title_full	Automatic Facial Expression Analysis Using Face Action Units
title_fullStr	Automatic Facial Expression Analysis Using Face Action Units
title_full_unstemmed	Automatic Facial Expression Analysis Using Face Action Units
title_sort	automatic facial expression analysis using face action units
granting_institution	Multimedia University
granting_department	Faculty of Information Science and Technology
publishDate	2013
_version_	1747829580456001536

Automatic Facial Expression Analysis Using Face Action Units

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