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Adaptive Real-Time Rendering for Large-Scale Molecular Models

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Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4292))

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Abstract

Real-time surface rendering of large-scale molecular models such as a colon bacillus requires a great number of polygons to be displayed on a display device. Since a long latency of display and manipulation is fatal in maintaining presence in a virtual environment, high performance computing power and high quality graphical components are required to exercise real-time rendering of such a large-scale molecular model. We propose an algorithm which enables a PC level computer to render and display large-scale molecular models in real-time. The proposed algorithm adaptively visualizes large-scale molecular models. We tested our algorithm with molecular models of which polygons range from 533,774 polygons to 2,656,246 polygons. Our experiments showed that frame rates of displaying and manipulating the models ranged from 17.85 to 55.64 frames-per-second. The frames rates are 4.3 to 6.9 times higher than those of the models which are obtained using a conventional system. Our system enables biologists to display and manipulate large-scale molecular models in real-time which could not be done fast enough to be used in a virtual environment using the conventional systems.

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Author information

Authors and Affiliations

  1. Computer Science & Engineering, Konkuk University, Seoul, Korea

    Jun Lee

  2. Game Engineering, Hoseo University, Cheonan, Korea

    Sungjun Park

  3. CAESIT, Konkuk University, Seoul, Korea

    Jee-In Kim

Authors
  1. Jun Lee
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  2. Sungjun Park
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  3. Jee-In Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

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

    Richard Boyle

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

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Intel, 95052, Santa Clara, CA, USA

    Ara Nefian

  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA

    Gopi Meenakshisundaram

  8. Institute for Data Analysis and Visualization, P.O. Box

    Valerio Pascucci

  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech

    Jiri Zara

  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA

    Jose Molineros

  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany

    Holger Theisel

  12. Hewlett Packard Labs, Palo Alto, CA, USA

    Tom Malzbender

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, J., Park, S., Kim, JI. (2006). Adaptive Real-Time Rendering for Large-Scale Molecular Models. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_40

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  • DOI: https://doi.org/10.1007/11919629_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48626-8

  • Online ISBN: 978-3-540-48627-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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