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Facial expression recognition from near-infrared videos
文献类型：期刊论文
| 作者 | Zhao, Guoying1,2; Huang, Xiaohua1,2,4; Taini, Matti1,2; Li, Stan Z.3 ; Pietikainen, Matti1,2
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| 刊名 | IMAGE AND VISION COMPUTING
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| 出版日期 | 2011-08-01 |
| 卷号 | 29期号:9页码:607-619 |
| 关键词 | Facial expression recognition Spatiotemporal descriptors Near-infrared (NIR) Visible light (VIS) Component-based facial features |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
| 研究领域[WOS] | Computer Science ; Engineering ; Optics |
| 关键词[WOS] | LOCAL BINARY PATTERNS ; FACE RECOGNITION ; CLASSIFICATION ; SEQUENCES ; IMAGERY ; WORDS ; POSE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000296123200004 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9752]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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