A Pupil-Positioning Method Based on the Starburst Model  

作　　者：Pingping Yu Wenjie Duan Yi Sun Ning Cao Zhenzhou Wang Guojun Lu 

机构地区：[1]School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang,050000,China [2]Hebei Electric Power Research Institute,Shijiazhuang,050022,China [3]School of Internet of Things and Software Technology,Wuxi Vocational College of Science and Technology,Wuxi,214028,China [4]School of Science,Engineering and IT,Federation University Australia,Gippsland Campus,Churchill,Australia.

出　　处：《Computers, Materials & Continua》2020年第8期1199-1217,共19页计算机、材料和连续体（英文）

基　　金：This research was funded by the Science and Technology Support Plan Project of Hebei Province(grant numbers 17210803D and 19273703D);the Science and Technology Spark Project of the Hebei Seismological Bureau(grant number DZ20180402056);the Education Department of Hebei Province(grant number QN2018095);the Polytechnic College of Hebei University of Science and Technology.

摘　　要：Human eye detection has become an area of interest in the field of computer vision with an extensive range of applications in human-computer interaction,disease diagnosis,and psychological and physiological studies.Gaze-tracking systems are an important research topic in the human-computer interaction field.As one of the core modules of the head-mounted gaze-tracking system,pupil positioning affects the accuracy and stability of the system.By tracking eye movements to better locate the center of the pupil,this paper proposes a method for pupil positioning based on the starburst model.The method uses vertical and horizontal coordinate integral projections in the rectangular region of the human eye for accurate positioning and applies a linear interpolation method that is based on a circular model to the reflections in the human eye.In this paper,we propose a method for detecting the feature points of the pupil edge based on the starburst model,which clusters feature points and uses the RANdom SAmple Consensus(RANSAC)algorithm to perform ellipse fitting of the pupil edge to accurately locate the pupil center.Our experimental results show that the algorithm has higher precision,higher efficiency and more robustness than other algorithms and excellent accuracy even when the image of the pupil is incomplete.

关 键 词：Human eye localization ellipse fitting pupil contour pupil center 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]