View Selection for Volume Rendering

In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the speed and efficiency of data understanding. This paper presents a view selection method designed for volume rendering. It can be used to find informative views for a given scene, or to find a minimal set of representative views which capture the entire scene. It becomes particularly useful when the visualization process is non-interactive ? for example, when visualizing large datasets or time-varying sequences. We introduce a viewpoint "goodness" measure based on the formulation of entropy from information theory. The measure takes into account the transfer function, the data distribution and the visibility of the voxels. Combined with viewpoint properties like view-likelihood and view-stability, this technique can be used as a guide which suggests "interesting" viewpoints for further exp...

• Type: Conference
• Year: 2005
• Where: VIS
• Authors: Udeepta Bordoloi, Han-Wei Shen
• Keywords: Representative Visualization, View Selection Behaviors, View Selection Method, VIS 2005, Visualization