Facial expression recognition from near-infrared videos
Zhao, Guoying1,2; Huang, Xiaohua1,2,4; Taini, Matti1,2; Li, Stan Z.3; Pietikainen, Matti1,2
2011-08-01
发表期刊IMAGE AND VISION COMPUTING
卷号29期号:9页码:607-619
文章类型Article
摘要Facial expression recognition is to determine the emotional state of the face regardless of its identity. Most of the existing datasets for facial expressions are captured in a visible light spectrum. However, the visible light (VIS) can change with time and location, causing significant variations in appearance and texture. In this paper, we present a novel research on a dynamic facial expression recognition, using near-infrared (NIR) video sequences and LBP-TOP (Local binary patterns from three orthogonal planes) feature descriptors. NIR imaging combined with LBP-TOP features provide an illumination invariant description of face video sequences. Appearance and motion features in slices are used for expression classification, and for this, discriminative weights are learned from training examples. Furthermore, component-based facial features are presented to combine geometric and appearance information, providing an effective way for representing the facial expressions. Experimental results of facial expression recognition using a novel Oulu-CASIA NIR&VIS facial expression database, a support vector machine and sparse representation classifiers show good and robust results against illumination variations. This provides a baseline for future research on NIR-based facial expression recognition. (C) 2011 Elsevier B.V. All rights reserved.
关键词Facial Expression Recognition Spatiotemporal Descriptors Near-infrared (Nir) Visible Light (Vis) Component-based Facial Features
WOS标题词Science & Technology ; Technology ; Physical Sciences
关键词[WOS]LOCAL BINARY PATTERNS ; FACE RECOGNITION ; CLASSIFICATION ; SEQUENCES ; IMAGERY ; WORDS ; POSE
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering ; Optics
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号WOS:000296123200004
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9752
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Univ Oulu, Machine Vis Grp, Infotech Oulu, FI-90014 Oulu, Finland
2.Univ Oulu, Dept Comp Sci & Engn, FI-90014 Oulu, Finland
3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
4.Southeast Univ, Res Ctr Learning Sci, Nanjing 210096, Peoples R China
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GB/T 7714
Zhao, Guoying,Huang, Xiaohua,Taini, Matti,et al. Facial expression recognition from near-infrared videos[J]. IMAGE AND VISION COMPUTING,2011,29(9):607-619.
APA Zhao, Guoying,Huang, Xiaohua,Taini, Matti,Li, Stan Z.,&Pietikainen, Matti.(2011).Facial expression recognition from near-infrared videos.IMAGE AND VISION COMPUTING,29(9),607-619.
MLA Zhao, Guoying,et al."Facial expression recognition from near-infrared videos".IMAGE AND VISION COMPUTING 29.9(2011):607-619.
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