SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Dynamic view-dependent simplification for polygonal models
Proceedings of the 7th conference on Visualization '96
View-dependent refinement of progressive meshes
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Real-Time Rendering
Computing Smooth Molecular Surfaces
IEEE Computer Graphics and Applications
Perceptually-Driven Simplification for Interactive Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
TexMol: Interactive Visual Exploration of Large Flexible Multi-Component Molecular Complexes
VIS '04 Proceedings of the conference on Visualization '04
A molecular modeling system based on dynamic gestures
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
A collaborative virtual reality environment for molecular modeling
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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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.