International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJIET 2009 Vol.1(5): 638-642
doi: 10.7763/IJCTE.2009.V1.103

Effectiveness of Eigenspaces for Facial Expressions Recognition

G. R. S. Murthy , R. S. Jadon

  • Madhav Institute of Technology and Science, Gwalior, (M. P.), India. 474005.
  • Manuscript receivedJuly 8, 2009

Abstract

Making Computer Systems to recognize and infer facial expressions from the user image is a challenging research topic. A method of facial expression recognition, based on Eigenspaces is presented in this paper. In our approach we identify the user’s facial expressions from the input images, using a method that was modified from eigen facere cognition. We have evaluated our method in terms of recognition accuracy using two well known Facial Expressions databases, Cohn- Kanade facial expression database and Japanese Female Facial Expression database. The experimental results show the effectiveness of our scheme.

Keywords

  • Facial Expression Recognition
  • Facial Expressions
  • Human Computer Interaction
  • Eigenspaces
  • PCA
103-G599-642

How to Cite

Copied

G. R. S. Murthy and R. S. Jadon, "Effectiveness of Eigenspaces for Facial Expressions Recognition," International Journal of Computer Theory and Engineering, vol. 1, no. 5, pp. 638-642, 2009. https://doi.org/10.7763/IJCTE.2009.V1.103

Copyright & License

Copyright © 2009 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions

Menu