Facial Expression Recognition: A Literature Survey

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-48 Number-1
Year of Publication : 2017
Authors : Mrs. Jyothi S Nayak, Preeti G, ManishaVatsa, Manisha Reddy Kadiri, Samiksha S
DOI :  10.14445/22312803/IJCTT-V48P101


Mrs. Jyothi S Nayak, Preeti G, ManishaVatsa, Manisha Reddy Kadiri, Samiksha S "Facial Expression Recognition: A Literature Survey". International Journal of Computer Trends and Technology (IJCTT) V48(1):1-4, June 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Facial expression recognition is becoming increasingly popular because of the need for human machine interaction. The recognition of facial expressions is not an easy problem for machine learning methods, since different people can vary in the way that they show their expressions. And even an image of the same person in one expression can vary in brightness, background and position. We conducted an extensive literature survey to compare the efficiencies of the various facial expression recognition techniques. The two popular databases used in most techniques are: 1) Cohn-Kanade AU-coded database and 2) JAFFE database. This paper aims at identifying the techniques used for the recognition of the six basic expressions: Joy, neutral, anger, sad, surprise and disgust.

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Face detection, facial expressions, expression recognitions, expression classification, datasets.