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Decoupling Rendering and Display Using Fast Depth Image Based Rendering on the GPU

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

Feasible rendering of massive scenes with hardware capabilities and scene data size concurrently growing has been an active subject of research in recent decades. While past attempts showed realtime rendering on basic consumer workstations, frame rates can still be too low for the growing demand in the professional CAD industry and sectors like entertainment for stable high frame rates. The work described in this paper focuses on fulfilling this demand in the context of CAD software. A fast custom application of the Depth Image Based Rendering (DIBR) technique is used to construct a view synthesis system generating the required rate using past frames of a classical parallel renderer. Artifacts associated with this technique are addressed in a cost-effective manner.

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Authors and Affiliations

  1. TU Ilmenau, Helmholtzplatz 5, 98693, Ilmenau, Germany

    Julian Meder & Beat Brüderlin

  2. 3DInteractive GmbH, Am Vogelherd 10, 98693, Ilmenau, Germany

    Julian Meder

Authors
  1. Julian Meder
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  2. Beat Brüderlin
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Corresponding author

Correspondence to Julian Meder .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Meder, J., Brüderlin, B. (2016). Decoupling Rendering and Display Using Fast Depth Image Based Rendering on the GPU. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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