Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
A survey of algorithms for volume visualization
ACM SIGGRAPH Computer Graphics
VIS '97 Proceedings of the 8th conference on Visualization '97
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
An Introduction to Computational Biochemistry
An Introduction to Computational Biochemistry
Multidimensional Transfer Functions for Interactive Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
The Transfer Function Bake-Off
IEEE Computer Graphics and Applications
Transfer functions on a logarithmic scale for volume rendering
GI '04 Proceedings of the 2004 Graphics Interface Conference
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
VIS '04 Proceedings of the conference on Visualization '04
Gaussian Transfer Functions for Multi-Field Volume Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
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The visualization of 3D volume data of proteins synthesized by quantum mechanics is a new topic and is of great importance in modern bio-computing. In this paper, we introduce our primary attempts on the volume visualization of the 3D macro-molecular scalar field. Firstly, we transform one protein molecular structure into a regularly sampled 3D scalar field according to the theories in quantum chemistry, in which each node records the combined effect of different actions in protease. We then exploit volume rendering techniques to find the macro-structure inside the data field based on a convenient mapping mechanism. We also propose an improved transfer function mode, facilitating the flexible visualization of the 3D protein data sets. Finally, combined with the iso-surface extraction technique, our approach allows for interactive exploration of the potential “tunnel” region which exhibits biological sense. With our approach, we show the escape route of water molecules hidden in the HIV-1 protease, which conforms to the experimental results.