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International Symposium on Visual Computing

ISVC 2015: Advances in Visual Computing pp 115–125Cite as

Guided High-Quality Rendering

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9475))

Abstract

We present a system which allows for guiding the image quality in global illumination (GI) methods by user-specified regions of interest (ROIs). This is done with either a tracked interaction device or a mouse-based method, making it possible to create a visualization with varying convergence rates throughout one image towards a GI solution. To achieve this, we introduce a scheduling approach based on Sparse Matrix Compression (SMC) for efficient generation and distribution of rendering tasks on the GPU that allows for altering the sampling density over the image plane. Moreover, we present a prototypical approach for filtering the newly, possibly sparse samples to a final image. Finally, we show how large-scale display systems can benefit from rendering with ROIs.

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Author information

Authors and Affiliations

  1. Institute of Visual Computing, Sankt Augustin, Germany

    Thorsten Roth, Martin Weier, Jens Maiero & André Hinkenjann

  2. Brunel University London, Uxbridge, UK

    Thorsten Roth, Jens Maiero & Yongmin Li

  3. Saarland University Computer Graphics Lab, Saarbrücken, Germany

    Martin Weier

Authors
  1. Thorsten Roth
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  2. Martin Weier
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  3. Jens Maiero
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  4. André Hinkenjann
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  5. Yongmin Li
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Corresponding author

Correspondence to Thorsten Roth .

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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Cite this paper

Roth, T., Weier, M., Maiero, J., Hinkenjann, A., Li, Y. (2015). Guided High-Quality Rendering. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-27863-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27862-9

  • Online ISBN: 978-3-319-27863-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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