A new approach to interactive viewpoint selection for volume data sets

Automatic viewpoint selection algorithms try to optimize the view of a data set to best show its features. They are often based on information theoretic frameworks. Although many algorithms have shown useful results, they often take several seconds to produce a result because they render the scene f...

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Bibliographic Details
Published in:Information visualization 2013-07, Vol.12 (3-4), p.240-256
Main Authors: Kim, Han Suk, Unat, Didem, Baden, Scott B, Schulze, Jürgen P
Format: Article
Language:English
Subjects:
Algorithms
Datasets
Feature selection
Interactive computer systems
Optimization
Principal components analysis
Studies
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Summary:Automatic viewpoint selection algorithms try to optimize the view of a data set to best show its features. They are often based on information theoretic frameworks. Although many algorithms have shown useful results, they often take several seconds to produce a result because they render the scene from a variety of viewpoints and analyze the result. In this article, we propose a new algorithm for volume data sets that dramatically reduces the running time. Our entire algorithm takes less than a second, which allows it to be integrated into real-time volume-rendering applications. The interactive performance is achieved by solving a maximization problem with a small sample of the data set, instead of rendering it from a variety of directions. We compare performance results of our algorithm to state-of-the-art approaches and show that our algorithm achieves comparable results for the resulting viewpoints. Furthermore, we apply our algorithm to multichannel volume data sets.
ISSN:1473-8716
1473-8724
DOI:10.1177/1473871612467631