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학술지 Extension of Cascaded Simple Feature Based Face Detection to Facial Expression Recognition
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저자
김도형, 정성욱, 정명진
발행일
200808
출처
Pattern Recognition Letters, v.29 no.11, pp.1621-1631
ISSN
0167-8655
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.patrec.2008.04.006
협약과제
08MS2800, 프라이버시 보호형 바이오인식 시스템 개발, 문기영
초록
In this paper, we extend cascaded rectangle features based face detection to facial expression. New types of rectangle features that are suitable for facial expression recognition (FER) are proposed. We choose those as rectangle features for FER in a 3 × 3 matrix form, using a variant of AdaBoost. In addition, the FER system constituted with the proposed rectangle feature set is compared to that with a typical rectangle feature set with regard to its capacity. Simulation and experimental results indicate that the proposed features show better representation and classification in FER. © 2008 Elsevier B.V. All rights reserved.
키워드
AdaBoost, Facial expression recognition, Feature selection, Pattern classification, Rectangle feature
KSP 제안 키워드
Facial Expression Recognition(FER), Feature selection(FS), Feature set, Pattern classification, feature based face detection