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- W2098628598 abstract "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." @default.
- W2098628598 created "2016-06-24" @default.
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- W2098628598 date "2013-02-25" @default.
- W2098628598 modified "2023-09-26" @default.
- W2098628598 title "A new approach to interactive viewpoint selection for volume data sets" @default.
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- W2098628598 doi "https://doi.org/10.1177/1473871612467631" @default.
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