Facial Expression Recognition using Analytical Hierarchy Process
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-24 Number-2 |
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| Year of Publication : 2015 | ||
| Authors : Vinita Phatnani, Akash Wanjari | ||
| DOI : 10.14445/22312803/IJCTT-V24P114 |
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
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Keywords
Analytical Hierarchy Process, Facial
Expression Recognition, High-Level Semantic
Knowledge, Low-Level Visual Feature.