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A novel facial expression recognitio...

Qin, Zijing.

A novel facial expression recognition method using bi-dimensional EMD based edge detection.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A novel facial expression recognition method using bi-dimensional EMD based edge detection.
Author:	Qin, Zijing.
Description:	89 p.
Notes:	Source: Masters Abstracts International, Volume: 48-05, page: 3122.
Notes:	Adviser: James Z. Zhang.
Contained By:	Masters Abstracts International48-05.
Subject:	Engineering, Electronics and Electrical.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1475730
ISBN:	9781109753042

A novel facial expression recognition method using bi-dimensional EMD based edge detection.
Qin, Zijing.

A novel facial expression recognition method using bi-dimensional EMD based edge detection. - 89 p.

Source: Masters Abstracts International, Volume: 48-05, page: 3122.

Thesis (M.S.)--Western Carolina University, 2010.

Facial expressions provide an important channel of nonverbal communication. Facial recognition techniques detect people's emotions using their facial expressions and have found applications in technical fields such as Human-Computer-Interaction (HCI) and security monitoring. Technical applications generally require fast processing and decision making. Therefore, it is imperative to develop innovative recognition methods that can detect facial expressions effectively and efficiently.

ISBN: 9781109753042Subjects--Topical Terms:

226981
Engineering, Electronics and Electrical.

A novel facial expression recognition method using bi-dimensional EMD based edge detection.
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020 $a 9781109753042
035 $a (UMI)AAI1475730
035 $a AAI1475730
040 $a UMI $c UMI
100 1 $a Qin, Zijing. $3 492993
245 1 2 $a A novel facial expression recognition method using bi-dimensional EMD based edge detection.
300 $a 89 p.
500 $a Source: Masters Abstracts International, Volume: 48-05, page: 3122.
500 $a Adviser: James Z. Zhang.
502 $a Thesis (M.S.)--Western Carolina University, 2010.
520 $a Facial expressions provide an important channel of nonverbal communication. Facial recognition techniques detect people's emotions using their facial expressions and have found applications in technical fields such as Human-Computer-Interaction (HCI) and security monitoring. Technical applications generally require fast processing and decision making. Therefore, it is imperative to develop innovative recognition methods that can detect facial expressions effectively and efficiently.
520 $a Traditionally, human facial expressions are recognized using standard images. Existing methods of recognition require subjective expertise and high computational costs. This thesis proposes a novel method for facial expression recognition using image edge detection based on Bi-dimensional Empirical Mode Decomposition (BEMD). In this research, a BEMD based edge detection algorithm was developed, a facial expression measurement metric was created, and an intensive database testing was conducted. The success rates of recognition suggest that the proposed method could be a potential alternative to traditional methods for human facial expression recognition with substantially lower computational costs. Furthermore, a possible blind-detection technique was proposed as a result of this research. Initial detection results suggest great potential of the proposed method for blind-detection that may lead to even more efficient techniques for facial expression recognition.
590 $a School code: 1373.
650 4 $a Engineering, Electronics and Electrical. $3 226981
690 $a 0544
710 2 $a Western Carolina University. $b Engineering and Engineering Technology. $3 492994
773 0 $t Masters Abstracts International $g 48-05.
790 1 0 $a Zhang, James Z., $e advisor
790 1 0 $a Adams, Robert D. $e committee member
790 1 0 $a Tay, Peter C. $e committee member
790 $a 1373
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1475730