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Iris center localization using energy map synthesis based on gradient and isophote
Dai LH(戴立红)1,2,3; Liu JG(刘金国)1,2; Gao Y(高扬)5
Department空间自动化技术研究室
Source PublicationJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN1064-1246
2020
Volume38Issue:4Pages:4511-4523
Indexed BySCI
WOS IDWOS:000534641700084
Contribution Rank1
Funding OrganizationNational Key R&D Program of China [2018YFB1304600] ; Natural Science Foundation of ChinaNational Natural Science Foundation of China [51575412] ; CAS Interdisciplinary Innovation Team [JCTD-2018-11]
KeywordIris center localization energy map synthesis gradient isophote post-processing correction
Abstract

Gaze tracking has wide applications such as in driver fatigue detection, virtual reality, and human-computer interaction. The performance of gaze tracking depends largely on the accuracy of iris center localization. However, most of the existing gaze tracking products are intrusive or require additional equipment with a high cost. Therefore, precise localization methods of iris center in low quality images captured in a non-contact way with visible light need to be investigated. This paper proposes a novel localization method of iris center using energy map synthesis based on image gradient, isophote and midpoint of eye ROI (Region of interest). This method combines the advantages of higher localization accuracy based on gradient, invariance to the rotation and linear transformation of light based on isophote, and iris center close to the midpoint of eye ROI. Moreover, a post-processing correction method for the closed eyes and for other large deviations of iris center position is adopted to further improve the localization accuracy. The algorithm is verified on the BioID, Talking Face Video and MUCT Face databases, and the results show that the localization accuracy in the paper has outperformed the listed state-of-the-art methods in varying illuminations

Language英语
WOS SubjectComputer Science, Artificial Intelligence
WOS KeywordEYE CENTER LOCATION ; GAZE TRACKING
WOS Research AreaComputer Science
Funding ProjectNational Key R&D Program of China[2018YFB1304600] ; Natural Science Foundation of China[51575412] ; CAS Interdisciplinary Innovation Team[JCTD-2018-11]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26930
Collection空间自动化技术研究室
Corresponding AuthorLiu JG(刘金国)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
4.School of Computing, University of Portsmouth, Portsmouth, UK
5.Space Technology for Autonomous & Robotic systems Laboratory (STAR LAB), Surrey Space Centre, University of Surrey, Guildford, UK
Recommended Citation
GB/T 7714
Dai LH,Liu JG,Gao Y. Iris center localization using energy map synthesis based on gradient and isophote[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2020,38(4):4511-4523.
APA Dai LH,Liu JG,&Gao Y.(2020).Iris center localization using energy map synthesis based on gradient and isophote.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,38(4),4511-4523.
MLA Dai LH,et al."Iris center localization using energy map synthesis based on gradient and isophote".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 38.4(2020):4511-4523.
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