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Cascade learning from adversarial synthetic images for accurate pupil detection

文献类型：期刊论文

作者Gou, Chao1,3; Zhang, Hui1; Wang, Kunfeng1,3; Wang, Fei-Yue1,3; Ji, Qiang2
刊名PATTERN RECOGNITION
出版日期2019-04-01
卷号88页码:584-594
关键词Cascade regression GANs Pupil detection
ISSN号0031-3203
DOI10.1016/j.patcog.2018.12.014
通讯作者Gou, Chao(gouchao.cas@gmail.com)
英文摘要Image-based pupil detection, which aims to find the pupil location in an image, has been an active research topic in computer vision community. Learning-based approaches can achieve preferable results given large amounts of training data with eye center annotations. However, there are limited publicly available datasets with accurate eye center annotations and it is unreliable and time-consuming for manually labeling large amounts of training data. In this paper, inspired by learning from synthetic data in Parallel Vision framework, we introduce a step of parallel imaging built upon Generative Adversarial Networks (GANs) to generate adversarial synthetic images. In particular, we refine the synthetic eye images by the improved SimGAN using adversarial training scheme. For the computational experiments, we further propose a coarse-to-fine pupil detection framework based on shape augmented cascade regression models learning from the adversarial synthetic images. Experiments on benchmark databases of BioID, GI4E, and LFW show that the proposed work performs significantly better over other state-of-the-art methods by leveraging the power of cascade regression and adversarial image synthesis. (C) 2018 Elsevier Ltd. All rights reserved.
WOS关键词EYE LOCALIZATION ; ROBUST
资助项目National Natural Science Foundation of China[61806198,61304200,61533019] ; National Science Foundation[1145152]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000457666900046
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China ; National Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/25281]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Gou, Chao
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Rensselaer Polytech Inst, ISL, Troy, NY 12180 USA
3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
推荐引用方式
GB/T 7714		 Gou, Chao,Zhang, Hui,Wang, Kunfeng,et al. Cascade learning from adversarial synthetic images for accurate pupil detection[J]. PATTERN RECOGNITION,2019,88:584-594.
APA Gou, Chao,Zhang, Hui,Wang, Kunfeng,Wang, Fei-Yue,&Ji, Qiang.(2019).Cascade learning from adversarial synthetic images for accurate pupil detection.PATTERN RECOGNITION,88,584-594.
MLA Gou, Chao,et al."Cascade learning from adversarial synthetic images for accurate pupil detection".PATTERN RECOGNITION 88(2019):584-594.

入库方式： OAI收割

来源：自动化研究所

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