F. Marton, E. Gobbetti, F. Bettio, Jose A. Iglesias-Guitian, R. Pintus
{"title":"一个实时的从粗到精的多视图捕捉系统,用于光场显示器上的全聚焦渲染","authors":"F. Marton, E. Gobbetti, F. Bettio, Jose A. Iglesias-Guitian, R. Pintus","doi":"10.1109/3DTV.2011.5877176","DOIUrl":null,"url":null,"abstract":"We present an end-to-end system capable of real-time capturing and displaying with full horizontal parallax high-quality 3D video contents on a cluster-driven multiprojector light-field display. The capture component is an array of low-cost USB cameras connected to a single PC. RawM-JPEG data coming fromthe software-synchronized cameras are multicast over Gigabit Ethernet to the back-end nodes of the rendering cluster, where they are decompressed and rendered. For all-in-focus rendering, view-dependent depth is estimated on the GPU using a customized multiview space-sweeping approach based on fast Census-based area matching implemented in CUDA. Realtime performance is demonstrated on a system with 18 VGA cameras and 72 SVGA rendering projectors.","PeriodicalId":158764,"journal":{"name":"2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","volume":"449 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display\",\"authors\":\"F. Marton, E. Gobbetti, F. Bettio, Jose A. Iglesias-Guitian, R. Pintus\",\"doi\":\"10.1109/3DTV.2011.5877176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an end-to-end system capable of real-time capturing and displaying with full horizontal parallax high-quality 3D video contents on a cluster-driven multiprojector light-field display. The capture component is an array of low-cost USB cameras connected to a single PC. RawM-JPEG data coming fromthe software-synchronized cameras are multicast over Gigabit Ethernet to the back-end nodes of the rendering cluster, where they are decompressed and rendered. For all-in-focus rendering, view-dependent depth is estimated on the GPU using a customized multiview space-sweeping approach based on fast Census-based area matching implemented in CUDA. Realtime performance is demonstrated on a system with 18 VGA cameras and 72 SVGA rendering projectors.\",\"PeriodicalId\":158764,\"journal\":{\"name\":\"2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"volume\":\"449 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DTV.2011.5877176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2011.5877176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display
We present an end-to-end system capable of real-time capturing and displaying with full horizontal parallax high-quality 3D video contents on a cluster-driven multiprojector light-field display. The capture component is an array of low-cost USB cameras connected to a single PC. RawM-JPEG data coming fromthe software-synchronized cameras are multicast over Gigabit Ethernet to the back-end nodes of the rendering cluster, where they are decompressed and rendered. For all-in-focus rendering, view-dependent depth is estimated on the GPU using a customized multiview space-sweeping approach based on fast Census-based area matching implemented in CUDA. Realtime performance is demonstrated on a system with 18 VGA cameras and 72 SVGA rendering projectors.