{"title":"基于加权线性回归的光学透明显示器局部色彩校正","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":"{\"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}","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}
Localized color correction for optical see-through displays via weighted linear regression
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.