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실시간 얼굴 표정 인식을 위한 새로운 사각 특징 형태 선택기법
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- Authors
- 정성욱, 김도형, 안광호, 정명진
- Issue Date
- 2006-02
- Citation
- 제어로봇시스템학회논문지, v.12, no.2, pp.130-137
- ISSN
- 1976-5622
- Publisher
- 제어로봇시스템학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- In this paper, we propose a method of selecting new types of rectangle features that are suitable for facial expression recognition. The basic concept in this paper is similar to Viola’s approach, which is used for face detection. Instead of previous Haar-like features we choose rectangle features for facial expression recognition among all possible rectangle types in a 3×3 matrix form using the AdaBoost algorithm. The facial expression recognition system constituted with the proposed rectangle features is also compared to that with previous rectangle features with regard to its capacity. The simulation and experimental results show that the proposed approach has better performance in facial expression recognition.
- KSP Keywords
- AdaBoost Algorithm, Face detection, Facial Expression Recognition(FER), Facial expression recognition system, Haar-Like features