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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 7    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 7, July 2011 Edition
Facial Expression Analysis: Towards Optimizing Performance and Accuracy
Full Text(PDF, 3000)  PP.  
Author(s)
Sujay Agarkar, Ayesha Butalia, Romeyo DSouza, Shruti Jalali, Gunjan Padia
KEYWORDS
Facial Gestures, Action Units, Neuro-Fuzzy Networks, Fiducial Points, Missing Values, Calibration
ABSTRACT
Facial expressions play an important role in interpersonal relations. This is because humans demonstrate and convey a lot of evident information visually rather than verbally. Although humans recognize facial expressions virtually without effort or delay, reliable expression recognition by machine remains a challenge as of today. To automate recognition of facial expressions, machines must be taught to understand facial gestures. In sustenance to this idea, we consider a facial expression to consist of deformations of facial components and their spatial relations, along with changes in the pigmentation of the same. This paper envisages interpretation of relative deviations of facial components, leading to expression recognition of subjects in images. Many of the potential applications utilizing automated facial expression analysis will necessitate speedy performance. We propose approaches to optimize the performance and accuracy of such a system by introducing ways to personalize and calibrate the system. We also discuss potential problems that may arise to hinder the accuracy, and suggest strategies to deal with them.
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