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International Symposium on Visual Computing

ISVC 2015: Advances in Visual Computing pp 830–841Cite as

Vis3D+: An Integrated System for GPU-Accelerated Volume Image Processing and Rendering

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

Abstract

This paper presents a prototype 3D image processing and rendering system that extends an existing interactive 3D image visualization system. The extensions consist of software modules implemented using graphics processing unit (GPU) programs known as “compute shaders”. Compute shaders are able to utilize the massively parallel, general-purpose computing capabilities provided by modern GPUs and can also be tightly integrated as new stages in a GPU-based volume and surface rendering pipeline. The compute shaders in this paper are designed to support the execution of volume image processing algorithms, as well as to support the interactive editing of the algorithms’ output. An example volume image processing algorithm known as level set segmentation is implemented and demonstrated. A new editing module is developed that enables user modification of the segmentation algorithm’s output by extending a pre-existing volume “painting” interface.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Ryerson University, Toronto, ON, M5B 2K3, Canada

    I. Nisar & T. McInerney

Authors
  1. I. Nisar
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  2. T. McInerney
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Corresponding author

Correspondence to T. McInerney .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Nisar, I., McInerney, T. (2015). Vis3D+: An Integrated System for GPU-Accelerated Volume Image Processing and Rendering. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_74

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_74

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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