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학술지 Hybrid Facial Representations for Emotion Recognition
Cited 13 time in scopus Download 4 time Share share facebook twitter linkedin kakaostory
저자
윤우한, 김도형, 박찬규, 김재홍
발행일
201312
출처
ETRI Journal, v.35 no.6, pp.1021-1028
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.13.2013.0054
협약과제
12VC1900, 잠재 역량 진단을 위한 감정특이점 기반 맞춤형 인지센싱 및 플랫폼 기술개발, 윤호섭
초록
Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixelbased descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality. © 2013 ETRI.
키워드
Facial expression recognition, Gabor filter, GF, Histograms of Oriented Gradients, HOG, LBP, Local Binary Pattern, RLBP, Rotated Local Binary Pattern
KSP 제안 키워드
Automatic facial expression recognition, Computer Vision(CV), Emotion recognition, Facial Expression Recognition(FER), Gabor filters, Histograms of Oriented Gradients(HOG), Human-Robot Interaction(HRI), Local binary Pattern, Low dimensionality, Micro-orientation, Pixel-based