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Journal Article
Hybrid Facial Representations for Emotion Recognition
- Authors
- Woo-han Yun, DoHyung Kim, Chankyu Park, Jaehong Kim
- Issue Date
- 2013-12
- Citation
- ETRI Journal, v.35, no.6, pp.1021-1028
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- 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.
- KSP Keywords
- Automatic facial expression recognition, Binary pattern, Computer Vision(CV), Emotion Recognition, Facial expression recognition(FER), Geometric structure, Human robot interaction(HRI), Low dimensionality, Micro-orientation, Pixel-based, Public databases