Facial Expression Recognition using Analytical Hierarchy Process

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-24 Number-2
Year of Publication : 2015
Authors : Vinita Phatnani, Akash Wanjari
  10.14445/22312803/IJCTT-V24P114

MLA

Vinita Phatnani, Akash Wanjari "Facial Expression Recognition using Analytical Hierarchy Process". International Journal of Computer Trends and Technology (IJCTT) V24(2):69-71, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Face Expression Recognition and Analysis is an actively researched topic since early nineties due to its significant contribution in Human- Computer Interaction which has paved the way for Affect-Sensitive Computing, also called Human Centered Computing. There have been several advances in terms of face detection and tracking, feature extraction methods and the techniques adopted for expression classification. But most face expression analysis systems utilize low-level visual features to recognize face expressions, while the user perception of facial expression recognition often varies with each individual. Low level visual features suffer a high degree of variability due to a number of factors and are unstable due to the variation of imaging conditions. So it is very important to introduce the semantic knowledge into the automatic recognition process in order to improve the recognition rate. In this paper, a semantic-based facial expression recognition model is proposed that incorporate both, the low-level feature and the human semantics using a multi-criteria decision making model, called Analytical Hierarchy Process (AHP). Experimental results show that the recognition rate is improved with this approach.

References
[1] B. Fasel and J. Luttin, “Automatic Facial Expression Analysis: a survey,” Pattern Recognition, vol. 36, no. 1, pp. 259-275, 2003.
[2] T. Kanade, J. Cohn, and Y. Tian, “Comprehensive Database for Facial Expression Analysis,” Proc. IEEE Int’l Conf. Face and Gesture Recognition (AFGR ’00),pp. 46-53, 2000.
[3] K. Anderson and P.W. McOwan, “A Real-Time Automated System for Recognition of Human Facial Expressions,” IEEE Trans. Systems, Man, and Cybernetics Part B,vol. 36, no. 1, pp. 96-105, 2006.
[4] https://en.wikipedia.org/wiki/Confusion_matrix
[5] Cheng Shyi-Chyi, Chen Ming-Yao, Chou T C, et al. Semantic-based facial expression recognition using analytical hierarchy process[J],Expert Systems with Applications, 2007,33 (1): 86-95.
[6] Hao Tang, Thomas S. Huang.3D facial expression recognition based on automatically selected features[C].IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops,2008,6:1-8.

Keywords
Analytical Hierarchy Process, Facial Expression Recognition, High-Level Semantic Knowledge, Low-Level Visual Feature.