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Adaptive Real-Time Rendering for Large-Scale Molecular Models

  • Jun Lee
  • Sungjun Park
  • Jee-In Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)

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.

Keywords

Frame Rate Graphic Processing Unit Critical Part Graphic Card Polygon Mesh 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jun Lee
    • 1
  • Sungjun Park
    • 2
  • Jee-In Kim
    • 3
  1. 1.Computer Science & EngineeringKonkuk UniversitySeoulKorea
  2. 2.Game EngineeringHoseo UniversityCheonanKorea
  3. 3.CAESITKonkuk UniversitySeoulKorea

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