An introduction to genetic algorithms
An introduction to genetic algorithms
Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Interactive Texture-Based Volume Rendering for Large Data Sets
IEEE Computer Graphics and Applications
Importance-Driven Feature Enhancement in Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
A Novel Interface for Higher-Dimensional Classification of Volume Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Illustrative Context-Preserving Exploration of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Local Histograms for Design of Transfer Functions in Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
ClearView: An Interactive Context Preserving Hotspot Visualization Technique
IEEE Transactions on Visualization and Computer Graphics
A Statistical Approach to Volume Data Quality Assessment
IEEE Transactions on Visualization and Computer Graphics
Visibility-driven transfer functions
PACIFICVIS '09 Proceedings of the 2009 IEEE Pacific Visualization Symposium
Interactive clipping techniques for texture-based volume visualization and volume shading
IEEE Transactions on Visualization and Computer Graphics
Interactive Transfer Function Design Based on Editing Direct Volume Rendered Images
IEEE Transactions on Visualization and Computer Graphics
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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Direct volume rendering (DVR) is a powerful visualization technique which allcvs users to effectively explore and study volumetric datasets. Different transparency settings can be flexibly assigned to different structures such that some valuable information can be revealed in direct volume rendered images (DVRIs). However, end-users often feel that some risks are always associated with DVR because they do not know whether any important information is missing from the transparent regions of DVRIs. In this paper, we investigate how to semi-automatically ger erate a set of DVRIs and also an animation which can reveal information missed in the original DVRIs and meanwhile satisy some image quality criteria such as coherence. A complete framework is developed to tackle various problems related to the generation and quality evaluation of visibility-aware DVRIs and animations. Our technique can reduce the risk of using direct volume rendering and thus boost the confidence of users in volume rendering systems.