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View-dependent Exploration of Massive Volumetric Models on Large Scale Light Field Displays

José Antonio Iglesias Guitián, Enrico Gobbetti, and Fabio Marton

2010

Abstract

We report on a light-field display based virtual environment enabling multiple naked-eye users to perceive detailed multi-gigavoxel volumetric models as floating in space, responsive to their actions, and delivering different information in different areas of the workspace. Our contributions include a set of specialized interactive illustrative techniques able to provide different contextual information in different areas of the display, as well as an out-of-core CUDA based raycasting engine with a number of improvements over current GPU volume raycasters. The possibilities of the system are demonstrated by the multi-user interactive exploration of 64GVoxels datasets on a 35MPixel light field display driven by a cluster of PCs.

Reference and download information

José Antonio Iglesias Guitián, Enrico Gobbetti, and Fabio Marton. View-dependent Exploration of Massive Volumetric Models on Large Scale Light Field Displays. The Visual Computer, 26(6--8): 1037-1047, 2010.

Related multimedia productions

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Jose Antonio Iglesias Guitian, Enrico Gobbetti and Fabio Marton
View-dependent Exploration of Massive Volumetric Models on Large Scale Light Field Displays
CRS4 Video n. 152 - Date: January 2010
CGI 2010 Proceedings and The Visual Computer Electronic Version

Bibtex citation record

@Article{Iglesias:2010:VDE,
    author = {Jos{\'e} Antonio {Iglesias Guiti{\'a}n} and Enrico Gobbetti and Fabio Marton},
    title = {View-dependent Exploration of Massive Volumetric Models on Large Scale Light Field Displays},
    journal = {The Visual Computer},
    volume = {26},
    number = {6--8},
    pages = {1037--1047},
    year = {2010},
    abstract = { We report on a light-field display based virtual environment enabling multiple naked-eye users to perceive detailed multi-gigavoxel volumetric models as floating in space, responsive to their actions, and delivering different information in different areas of the workspace. Our contributions include a set of specialized interactive illustrative techniques able to provide different contextual information in different areas of the display, as well as an out-of-core CUDA based raycasting engine with a number of improvements over current GPU volume raycasters. The possibilities of the system are demonstrated by the multi-user interactive exploration of 64GVoxels datasets on a 35MPixel light field display driven by a cluster of PCs. },
    url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Iglesias:2010:VDE'},
}