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http://dx.doi.org/10.5573/ieie.2014.51.11.193

Facial Expression Recognition using Face Alignment and AdaBoost  

Jeong, Kyungjoong (School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology)
Choi, Jaesik (School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology)
Jang, Gil-Jin (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.11, 2014 , pp. 193-201 More about this Journal
Abstract
This paper suggests a facial expression recognition system using face detection, face alignment, facial unit extraction, and training and testing algorithms based on AdaBoost classifiers. First, we find face region by a face detector. From the results, face alignment algorithm extracts feature points. The facial units are from a subset of action units generated by combining the obtained feature points. The facial units are generally more effective for smaller-sized databases, and are able to represent the facial expressions more efficiently and reduce the computation time, and hence can be applied to real-time scenarios. Experimental results in real scenarios showed that the proposed system has an excellent performance over 90% recognition rates.
Keywords
Facial expression recognition; face detection; face alignment; AdaBoost; action units;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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