| Image Ratio Features for Facial Expression Recognition Application | |
| Song, Mingli1; Tao, Dacheng2; Liu, Zicheng3; Li, Xuelong4; Zhou, Mengchu5; D. Tao | |
| 2010-06-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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| ISSN | 1083–4419 |
| 卷号 | 40期号:3页码:779-788 |
| 摘要 | Video-based facial expression recognition is a challenging problem in computer vision and human-computer interaction. To target this problem, texture features have been extracted and widely used, because they can capture image intensity changes raised by skin deformation. However, existing texture features encounter problems with albedo and lighting variations. To solve both problems, we propose a new texture feature called image ratio features. Compared with previously proposed texture features, e. g., high gradient component features, image ratio features are more robust to albedo and lighting variations. In addition, to further improve facial expression recognition accuracy based on image ratio features, we combine image ratio features with facial animation parameters (FAPs), which describe the geometric motions of facial feature points. The performance evaluation is based on the Carnegie Mellon University Cohn-Kanade database, our own database, and the Japanese Female Facial Expression database. Experimental results show that the proposed image ratio feature is more robust to albedo and lighting variations, and the combination of image ratio features and FAPs outperforms each feature alone. In addition, we study asymmetric facial expressions based on our own facial expression database and demonstrate the superior performance of our combined expression recognition system. |
| 文章类型 | Article |
| 关键词 | Expression Recognition Facial Expression Image Ratio Features |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2009.2029076 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | FACE RECOGNITION ; DISCRIMINANT-ANALYSIS ; INVARIANT ; SAMPLE |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000277774700021 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8585 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | D. Tao |
| 作者单位 | 1.Zhejiang Univ, Microsoft Visual Percept Lab, Hangzhou 310027, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Microsoft Res, Redmond, WA 98052 USA 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 5.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA |
| 推荐引用方式 GB/T 7714 | Song, Mingli,Tao, Dacheng,Liu, Zicheng,et al. Image Ratio Features for Facial Expression Recognition Application[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2010,40(3):779-788. |
| APA | Song, Mingli,Tao, Dacheng,Liu, Zicheng,Li, Xuelong,Zhou, Mengchu,&D. Tao.(2010).Image Ratio Features for Facial Expression Recognition Application.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,40(3),779-788. |
| MLA | Song, Mingli,et al."Image Ratio Features for Facial Expression Recognition Application".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 40.3(2010):779-788. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Image Ratio Features（788KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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