CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Facial expression recognition from near-infrared videos
Zhao, Guoying1,2; Huang, Xiaohua1,2,4; Taini, Matti1,2; Li, Stan Z.3; Pietikainen, Matti1,2
Source PublicationIMAGE AND VISION COMPUTING
2011-08-01
Volume29Issue:9Pages:607-619
SubtypeArticle
AbstractFacial 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.
KeywordFacial Expression Recognition Spatiotemporal Descriptors Near-infrared (Nir) Visible Light (Vis) Component-based Facial Features
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
WOS KeywordLOCAL BINARY PATTERNS ; FACE RECOGNITION ; CLASSIFICATION ; SEQUENCES ; IMAGERY ; WORDS ; POSE
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS IDWOS:000296123200004
Citation statistics
Cited Times:106[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9752
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
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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