Yi Wu, K. Seshadrinathan, Wei Sun, M. E. Choubassi, J. Ratcliff, I. Kozintsev
{"title":"Creative Transformations of Personal Photographs","authors":"Yi Wu, K. Seshadrinathan, Wei Sun, M. E. Choubassi, J. Ratcliff, I. Kozintsev","doi":"10.1109/ICMEW.2012.87","DOIUrl":null,"url":null,"abstract":"The popularity of mobile photography paves the way to create new ways of viewing, interacting and enabling a user's creative expression with personal media. In this paper, we describe an instantaneous and automatic method to localize the camera and enable segmentation of foreground objects such as people from an input image, assuming knowledge of the environment in which the image was taken. Camera localization is performed by comparing multiple views of the 3D environment against the uncalibrated input image. Following localization, selected views of the 3D environment are aligned, color-mapped and compared against the input image to segment the foreground content. We demonstrate results using our proposed system in two illustrative applications: a virtual game played between multiple users involving virtual projectiles and a group shot of multiple people who may not be available simultaneously at the same time or place created against a background of their choice.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Multimedia and Expo Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEW.2012.87","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
The popularity of mobile photography paves the way to create new ways of viewing, interacting and enabling a user's creative expression with personal media. In this paper, we describe an instantaneous and automatic method to localize the camera and enable segmentation of foreground objects such as people from an input image, assuming knowledge of the environment in which the image was taken. Camera localization is performed by comparing multiple views of the 3D environment against the uncalibrated input image. Following localization, selected views of the 3D environment are aligned, color-mapped and compared against the input image to segment the foreground content. We demonstrate results using our proposed system in two illustrative applications: a virtual game played between multiple users involving virtual projectiles and a group shot of multiple people who may not be available simultaneously at the same time or place created against a background of their choice.