Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition
文献类型：期刊论文
| 作者 | Liu, Mengyi; Wang, Ruiping; Shan, Shiguang; Chen, Xilin |
| 刊名 | COMPUTER VISION AND IMAGE UNDERSTANDING
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 147页码:95-101 |
| 关键词 | Expression prototype Simile representation Grassmann manifold Spontaneous expression recognition |
| ISSN号 | 1077-3142 |
| DOI | 10.1016/j.cviu.2015.08.006 |
| 英文摘要 | Video-based spontaneous expression recognition is a challenging task due to the large inter-personal variations of both the expressing manners and the executing rates for the same expression category. One of the key is to explore robust representation method which can effectively capture the facial variations as well as alleviate the influence of personalities. In this paper, we propose to learn a kind of typical patterns that can be commonly shared by different subjects when performing expressions, namely "prototypes". Specifically, we first apply a statistical model (i.e. linear subspace) on facial regions to generate the specific expression patterns for each video. Then a clustering algorithm is employed on all these expression patterns and the cluster means are regarded as the "prototypes". Accordingly, we further design "simile" features to measure the similarities of personal specific patterns to our learned "prototypes". Both techniques are conducted on Grassmann manifold, which can enrich the feature encoding manners and better reveal the data structure by introducing intrinsic geodesics. Extensive experiments are conducted on both posed and spontaneous expression databases. All results show that our method outperforms the state-of-the-art and also possesses good transferable ability under cross-database scenario. (C) 2015 Elsevier Inc. All rights reserved. |
| 资助项目 | 973 Program[2015CB351802] ; Natural Science Foundation of China[61390511] ; Natural Science Foundation of China[61222211] ; Natural Science Foundation of China[61379083] ; Youth Innovation Promotion Association CAS[2015085] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000377052000010 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/8396]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Shan, Shiguang |
| 作者单位 | Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Mengyi,Wang, Ruiping,Shan, Shiguang,et al. Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2016,147:95-101. |
| APA | Liu, Mengyi,Wang, Ruiping,Shan, Shiguang,&Chen, Xilin.(2016).Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition.COMPUTER VISION AND IMAGE UNDERSTANDING,147,95-101. |
| MLA | Liu, Mengyi,et al."Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition".COMPUTER VISION AND IMAGE UNDERSTANDING 147(2016):95-101. |
入库方式： OAI收割
来源：计算技术研究所
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