A Real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display
Fabio Marton, Enrico Gobbetti, Fabio Bettio, José Antonio Iglesias Guitián, and Ruggero Pintus
2011
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 with full horizontal parallax. The capture component is an array of low-cost USB cameras connected to a single PC. Raw M-JPEG data coming from the 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. Real-time performance is demonstrated on a system with 18 cameras and 72 rendering projectors.
Reference and download information
Fabio Marton, Enrico Gobbetti, Fabio Bettio, José Antonio Iglesias Guitián, and Ruggero Pintus. A Real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display. In Proc. 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON). Pages 1-4, 2011. DOI: 10.1109/3DTV.2011.5877176 .
@InProceedings{Marton:2011:RCM, author = {Fabio Marton and Enrico Gobbetti and Fabio Bettio and {Jos\'e Antonio} {Iglesias Guiti\'an} and Ruggero Pintus}, title = {A Real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display}, booktitle = {Proc. 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)}, pages = {1--4}, year = {2011}, issn = {2161-2021}, 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 with full horizontal parallax. The capture component is an array of low-cost USB cameras connected to a single PC. Raw M-JPEG data coming from the 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. Real-time performance is demonstrated on a system with 18 cameras and 72 rendering projectors. }, doi = {10.1109/3DTV.2011.5877176 }, url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Marton:2011:RCM'}, }
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