{"title":"Superimposed projection of ghosted view on real object with color correction","authors":"Naoto Uekusa, T. Koike","doi":"10.1145/2735711.2735810","DOIUrl":null,"url":null,"abstract":"We describe a spatial augmented reality system that enables superimposed projection of an internal image on a real object with color correction. Our system is a projector-camera system, which consists of a camera, a projector, and a PC. At first, we generate a first projection image from the internal image of CG and a camera image of the real object captured by the camera. Next, we project the first projection image on the real object, and again capture an image of the real object with the internal image. At last, we update the projection image with color correction on CIELUV color space and project the image on the real object. This system will be able to visualize the internal structures on various objects easily.","PeriodicalId":246615,"journal":{"name":"Proceedings of the 6th Augmented Human International Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th Augmented Human International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2735711.2735810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We describe a spatial augmented reality system that enables superimposed projection of an internal image on a real object with color correction. Our system is a projector-camera system, which consists of a camera, a projector, and a PC. At first, we generate a first projection image from the internal image of CG and a camera image of the real object captured by the camera. Next, we project the first projection image on the real object, and again capture an image of the real object with the internal image. At last, we update the projection image with color correction on CIELUV color space and project the image on the real object. This system will be able to visualize the internal structures on various objects easily.