dc.citation.endPage |
202 |
- |
dc.citation.number |
11 |
- |
dc.citation.startPage |
193 |
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dc.citation.title |
전자공학회논문지 |
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dc.citation.volume |
51 |
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dc.contributor.author |
Choi, Jaesik |
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dc.contributor.author |
정경중 |
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dc.contributor.author |
장길진 |
- |
dc.date.accessioned |
2023-12-22T02:06:44Z |
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dc.date.available |
2023-12-22T02:06:44Z |
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dc.date.created |
2015-07-03 |
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dc.date.issued |
2014-11 |
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dc.description.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. |
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dc.identifier.bibliographicCitation |
전자공학회논문지, v.51, no.11, pp.193 - 202 |
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dc.identifier.doi |
10.5573/ieie.2014.51.11.193 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/11857 |
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dc.identifier.url |
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=DHJJQ3_2014_v51n11_193 |
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dc.language |
한국어 |
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dc.publisher |
대한전자공학회 |
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dc.title.alternative |
Facial Expression Recognition using Face Alignment and AdaBoost |
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dc.title |
얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식 |
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dc.type |
Article |
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dc.description.isOpenAccess |
FALSE |
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dc.identifier.kciid |
ART001928563 |
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dc.description.journalRegisteredClass |
kci |
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