{"title":"一种判断瞳孔准确位置和测量眼球旋转角度的新方法","authors":"Qing-wen Lv, Xiao-hong Mo, Yuan-yuan Gao","doi":"10.1109/ICBBE.2010.5516366","DOIUrl":null,"url":null,"abstract":"Traditional ENG technology got the recording from the eye movement displacement parameters through contactting with skin indirectly. Modern nystagmus gets the eye movement image through video camera, then calculates the eye movement displacement parameters. Difficulties of this technology in so big noise image environment, are how to judge the accurate location of the pupil and how to measure the eye rotational angle. In this paper,we use the template matching method to solve how to juge the accurate positioning pupil in case of large noise image environment, followed by the use of mutual information in image registration to solve the problem of measuration of the eye rotational angle.We test these two methods in the simulated test images ,and the results are content.","PeriodicalId":6396,"journal":{"name":"2010 4th International Conference on Bioinformatics and Biomedical Engineering","volume":"46 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Method to Judge the Accurate Position of the Pupil and Measure the Eye Rotational Angle\",\"authors\":\"Qing-wen Lv, Xiao-hong Mo, Yuan-yuan Gao\",\"doi\":\"10.1109/ICBBE.2010.5516366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional ENG technology got the recording from the eye movement displacement parameters through contactting with skin indirectly. Modern nystagmus gets the eye movement image through video camera, then calculates the eye movement displacement parameters. Difficulties of this technology in so big noise image environment, are how to judge the accurate location of the pupil and how to measure the eye rotational angle. In this paper,we use the template matching method to solve how to juge the accurate positioning pupil in case of large noise image environment, followed by the use of mutual information in image registration to solve the problem of measuration of the eye rotational angle.We test these two methods in the simulated test images ,and the results are content.\",\"PeriodicalId\":6396,\"journal\":{\"name\":\"2010 4th International Conference on Bioinformatics and Biomedical Engineering\",\"volume\":\"46 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 4th International Conference on Bioinformatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBBE.2010.5516366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 4th International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2010.5516366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Method to Judge the Accurate Position of the Pupil and Measure the Eye Rotational Angle
Traditional ENG technology got the recording from the eye movement displacement parameters through contactting with skin indirectly. Modern nystagmus gets the eye movement image through video camera, then calculates the eye movement displacement parameters. Difficulties of this technology in so big noise image environment, are how to judge the accurate location of the pupil and how to measure the eye rotational angle. In this paper,we use the template matching method to solve how to juge the accurate positioning pupil in case of large noise image environment, followed by the use of mutual information in image registration to solve the problem of measuration of the eye rotational angle.We test these two methods in the simulated test images ,and the results are content.