Deep neural network oriented evolutionary parametric eye modeling | |
Zheng, Yang1,2; Fu, Hong3; Li, Ruimin1,2; Hsung, Tai-Chiu4; Song, Zongxi1; Wen, Desheng1 | |
作者部门 | 空间光学技术研究室 |
2021-05 | |
发表期刊 | Pattern Recognition |
ISSN | 00313203 |
卷号 | 113 |
产权排序 | 1 |
摘要 | Comprehensive and accurate eye modeling is crucial to a variety of applications, including human-computer interaction, assistive technologies, and medical diagnosis. However, most studies focus on the localization of one or two components of eyes, such as pupil or iris, lacking a comprehensive eye model. We propose to model an eye image by a set of parametric curves. The set of curves are plotted on an eye image to form a Contour-Eye image. A deep neural network is trained to evaluate the fitness of the Contour-Eye image. Then an evolutionary process is conducted to search the best fitting curve set, guided by the trained deep neural network. Finally, an accurate eye model with optimized parametric curves is obtained. For the algorithm evaluation, a finely annotated eye dataset denoted as FAED-50 is established by us, which contains 2,498 eye images from 50 subjects. The experimental results on the FAED-50 and the relabeled CASIA datasets and comparison with the state-of-the-art methods demonstrate the effectiveness and accuracy of the proposed parametric model. © 2020 |
关键词 | Parametric eye modeling Deep neural network Evolutionary search Fitness evaluation |
DOI | 10.1016/j.patcog.2020.107755 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000626268400008 |
出版者 | Elsevier Ltd |
EI入藏号 | 20204809527185 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93887 |
专题 | 空间光学技术研究室 |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China; 2.University of Chinese Academy of Sciences, Beijing, China; 3.Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong; 4.Department of Computer Science, Chu Hai College of Higher Education, China |
推荐引用方式 GB/T 7714 | Zheng, Yang,Fu, Hong,Li, Ruimin,et al. Deep neural network oriented evolutionary parametric eye modeling[J]. Pattern Recognition,2021,113. |
APA | Zheng, Yang,Fu, Hong,Li, Ruimin,Hsung, Tai-Chiu,Song, Zongxi,&Wen, Desheng.(2021).Deep neural network oriented evolutionary parametric eye modeling.Pattern Recognition,113. |
MLA | Zheng, Yang,et al."Deep neural network oriented evolutionary parametric eye modeling".Pattern Recognition 113(2021). |
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Deep neural network (3803KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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