Cascade learning from adversarial synthetic images for accurate pupil detection

doi:10.1016/j.patcog.2018.12.014

	Cascade learning from adversarial synthetic images for accurate pupil detection
	Gou, Chao1,3 ; Zhang, Hui1 ; Wang, Kunfeng1,3 ; Wang, Fei-Yue1,3 ; Ji, Qiang 2
刊名	PATTERN RECOGNITION
	2019-04-01
卷号	88 页码:584-594
关键词	Cascade regression GANs Pupil detection
ISSN号	0031-3203
DOI	10.1016/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.
资助项目	National Natural Science Foundation of China[61806198,61304200,61533019] ; National Science Foundation[1145152]
WOS关键词	EYE LOCALIZATION ; ROBUST
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000457666900046
资助机构	National Natural Science Foundation of China ; National Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25281]
专题	中国科学院自动化研究所
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.