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Choi, Jaesik
Statistical Artificial Intelligence Lab
Research Interests
  • Artificial intelligence, machine learning, deep learning, robotics, automatic statistician, semantic segmentation, fault detection

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얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식

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Title
얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식
Other Titles
Facial Expression Recognition using Face Alignment and AdaBoost
Author
Choi, Jaesik정경중장길진
Issue Date
2014-11
Publisher
대한전자공학회
Citation
전자공학회논문지, v.51, no.11, pp.193 - 202
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.
URI
https://scholarworks.unist.ac.kr/handle/201301/11857
URL
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=DHJJQ3_2014_v51n11_193
DOI
10.5573/ieie.2014.51.11.193
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