{"title":"Localized color correction for optical see-through displays via weighted linear regression","authors":"Jae-Woo Kim, Kang-Kyu Lee, Je-Ho Ryu, Jong-Ok Kim","doi":"10.1145/2993369.2993406","DOIUrl":null,"url":null,"abstract":"Visual consistency in augmented reality displays requires truthful color reproduction of virtual images. However, the color distortion of Optical See-Through Displays hinders truthful color reproduction. We propose a color correction method for Optical See-Through Displays with three contributions. First, we handle non-linearity of color distortion by localized regression. Second, we model the color distortion in CIE XYZ domain, a device-independent representation of color, based on color measurements. This supports the locally linear modeling of color distortion. Finally, we introduce Hue-constrained gamut mapping for color correction. Experimental results validate the three contributions by showing critically meaningful performance gain.","PeriodicalId":396801,"journal":{"name":"Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2993369.2993406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Visual consistency in augmented reality displays requires truthful color reproduction of virtual images. However, the color distortion of Optical See-Through Displays hinders truthful color reproduction. We propose a color correction method for Optical See-Through Displays with three contributions. First, we handle non-linearity of color distortion by localized regression. Second, we model the color distortion in CIE XYZ domain, a device-independent representation of color, based on color measurements. This supports the locally linear modeling of color distortion. Finally, we introduce Hue-constrained gamut mapping for color correction. Experimental results validate the three contributions by showing critically meaningful performance gain.