Facial emotion feature extraction based eigenface for three-dimensional video
Joint Authors
Ghani, Rana F.
Salih, Hilal Hadi
al-Agha, Salwa A.
Source
JEA Journal of Electrical Engineering
Issue
Vol. 1, Issue 1 (31 Dec. 2016), pp.17-28, 12 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Recent psychological research has shown that facial expressions are the most expressive way in which humans display emotion.
Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions.
Therefore, automated and real-time facial expression recognition would be useful in many applications, such as human-computer interfaces, virtual reality, video-conferencing, and customer satisfaction studies.
This paper presents a proposed technique for facial expression extraction, which is based on the appearance features technique - principle component analysis, which depending on extract features (largest eigenvalues and eigenvectors).
Experimental results show the quick technique for feature extraction of three-dimensional video frames, which takes 5.1 s in the process of feature extraction.
American Psychological Association (APA)
al-Agha, Salwa A.& Salih, Hilal Hadi& Ghani, Rana F.. 2016. Facial emotion feature extraction based eigenface for three-dimensional video. JEA Journal of Electrical Engineering،Vol. 1, no. 1, pp.17-28.
https://search.emarefa.net/detail/BIM-897787
Modern Language Association (MLA)
Salih, Hilal Hadi…[et al.]. Facial emotion feature extraction based eigenface for three-dimensional video. JEA Journal of Electrical Engineering Vol. 1, no. 1 (2016), pp.17-28.
https://search.emarefa.net/detail/BIM-897787
American Medical Association (AMA)
al-Agha, Salwa A.& Salih, Hilal Hadi& Ghani, Rana F.. Facial emotion feature extraction based eigenface for three-dimensional video. JEA Journal of Electrical Engineering. 2016. Vol. 1, no. 1, pp.17-28.
https://search.emarefa.net/detail/BIM-897787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 28
Record ID
BIM-897787