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Real-time GPU-accelerated Out-of-core Rendering and Light-field Visualization for Improved Massive Volumes Understanding

José Antonio Iglesias Guitián

2011

Abstract

Volumetric datasets are growing at incredible rates in terms of number and size resulting in two visualization challenges: maintaining performance and extracting meaningful information. These two challenges are closely related, since user interaction, which imposes real-time constraints, is a key to volumetric understanding. In this thesis, we introduce scalable methods for rendering volumes of potentially unlimited size on modern GPU architectures. Furthermore we present methods to improve their understanding through illustrative techniques and presentation on advanced 3D displays.

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José Antonio Iglesias Guitián. Real-time GPU-accelerated Out-of-core Rendering and Light-field Visualization for Improved Massive Volumes Understanding. PhD thesis. Dept. of Electrical Engineering, University of Cagliari, Italy, 2011.

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Bibtex citation record

@PhdThesis{Iglesias:2011:RGO,
    author = {{Jos{\'e} Antonio} {Iglesias Guiti{\'a}n}},
    title = {Real-time GPU-accelerated Out-of-core Rendering and Light-field Visualization for Improved Massive Volumes Understanding},
    school = {Dept. of Electrical Engineering, University of Cagliari, Italy},
    year = {2011},
    abstract = { Volumetric datasets are growing at incredible rates in terms of number and size resulting in two visualization challenges: maintaining performance and extracting meaningful information. These two challenges are closely related, since user interaction, which imposes real-time constraints, is a key to volumetric understanding. In this thesis, we introduce scalable methods for rendering volumes of potentially unlimited size on modern GPU architectures. Furthermore we present methods to improve their understanding through illustrative techniques and presentation on advanced 3D displays. },
    url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Iglesias:2011:RGO'},
}