Wonwoo Lee, Youngmin Park, V. Lepetit, Woontack Woo
{"title":"Point-and-shoot for ubiquitous tagging on mobile phones","authors":"Wonwoo Lee, Youngmin Park, V. Lepetit, Woontack Woo","doi":"10.1109/ISMAR.2010.5643551","DOIUrl":null,"url":null,"abstract":"We propose a novel way to augment a real scene with minimalist user intervention on a mobile phone: The user only has to point the phone camera to the desired location of the augmentation. Our method is valid for vertical or horizontal surfaces only, but this is not a restriction in practice in man-made environments, and avoids to go through any reconstruction of the 3D scene, which is still a delicate process. Our approach is inspired by recent work on perspective patch recognition [5] and we show how to modify it for better performances on mobile phones and how to exploit the phone accelerometers to relax the need for fronto-parallel views. In addition, our implementation allows to share the augmentations and the required data over peer-to-peer communication to build a shared AR space on mobile phones.","PeriodicalId":250608,"journal":{"name":"2010 IEEE International Symposium on Mixed and Augmented Reality","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Mixed and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMAR.2010.5643551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
We propose a novel way to augment a real scene with minimalist user intervention on a mobile phone: The user only has to point the phone camera to the desired location of the augmentation. Our method is valid for vertical or horizontal surfaces only, but this is not a restriction in practice in man-made environments, and avoids to go through any reconstruction of the 3D scene, which is still a delicate process. Our approach is inspired by recent work on perspective patch recognition [5] and we show how to modify it for better performances on mobile phones and how to exploit the phone accelerometers to relax the need for fronto-parallel views. In addition, our implementation allows to share the augmentations and the required data over peer-to-peer communication to build a shared AR space on mobile phones.