C. Lipski, A. Hilsmann, C. Dachsbacher, M. Eisemann
{"title":"Image- and Video-Based Rendering","authors":"C. Lipski, A. Hilsmann, C. Dachsbacher, M. Eisemann","doi":"10.1201/b18154-22","DOIUrl":null,"url":null,"abstract":"The purpose of imageand video-based rendering (IVBR) is to be able to synthesize photo-realistic new, virtual views of real-world scenes and events from no more than a set of conventional photographs or videos of the scene. Purely image-based, or plenoptic, approaches densely sample scene appearance using a large number of images, Sections 17.2 and 5.3. New views are generated by simply re-sampling the captured image data. In contrast, geometry-assisted methods require much less input images. Here, 3D scene geometry is either a-priori known, reconstructed from the captured imagery, or acquired separately by some other means, e.g., ranging imaging, Chapter 4. With (approximate) scene geometry available, views","PeriodicalId":141890,"journal":{"name":"Digital Representations of the Real World","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Representations of the Real World","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/b18154-22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The purpose of imageand video-based rendering (IVBR) is to be able to synthesize photo-realistic new, virtual views of real-world scenes and events from no more than a set of conventional photographs or videos of the scene. Purely image-based, or plenoptic, approaches densely sample scene appearance using a large number of images, Sections 17.2 and 5.3. New views are generated by simply re-sampling the captured image data. In contrast, geometry-assisted methods require much less input images. Here, 3D scene geometry is either a-priori known, reconstructed from the captured imagery, or acquired separately by some other means, e.g., ranging imaging, Chapter 4. With (approximate) scene geometry available, views