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Direct volume rendering has become a popular technique for visualizing volumetric data from sources such as scientific simulations, analytic functions, medical scanners, among others. Volume rendering algorithms, such as raycasting, can produce high-quality images, however, the use of raycasting has been limited due to its high demands on computational power and memory bandwidth. In this paper, we...
Being able to create insightful visualizations from both simulated and measured data is important for the visualization community. For scalar volumes, direct volume rendering has proved a useful tool for data exploration. Using a transfer function, we can map scalar values to colors and opacities to identify and enhance important features. Although researchers have developed some automatic techniques...
Although direct volume rendering is a powerful tool for visualizing complex structures within volume data, the size and complexity of the parameter space controlling the rendering process makes generating an informative rendering challenging. In particular, the specification of the transfer function-the mapping from data values to renderable optical properties-is frequently a time consuming and unintuitive...
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