Fast Adaptive Selection of Best Views

机译：快速最佳选择最佳视图

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Automatic computation of best views of objects is very useful. For example, they can be used as the starting point of a scene exploration, or to enrich galleries of objects available through Internet by adding an image a model that may help to decide if it is worth downloading. To select the most interesting viewpoint of an object, we use the so-called viewpoint entropy. The best view is the one which gives the most information of the object being inspected. In this paper we present an adaptive method to compute best views. Our adaptive scheme allows to improve over previous approaches the time of the selection of best views by an order of magnitude, and achieve a nearly interactive rate.

机译：自动计算对象的最佳视图非常有用。例如，它们可以用作场景探索的起点，或者通过添加图像来丰富互联网上可用的对象库，该图像可以帮助确定是否值得下载。为了选择一个物体最有趣的视点，我们使用了所谓的视点熵。最好的视图是能提供有关被检查对象的最多信息的视图。在本文中，我们提出了一种自适应方法来计算最佳视图。我们的自适应方案允许以一个数量级将最佳视图的选择时间改进到以前的方法，并达到接近交互的速率。

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来源
《International Conference on Computational Science and Its Applications - ICCSA 2003 Pt.3 May 18-21, 2003 Montreal, Canada》|2003年|p.295-305|共11页
会议地点 Montreal(CA);Montreal(CA)
作者
Pere-Pau Vazquez; Mateu Sbert;
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作者单位

Dept. LSI ― Universitat Politecnica de Catalunya, Campus Sud -Ed. ETSEIB, Diagonal 647, 8ena Planta, E ― 08028 Barcelona, Spain;

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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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Fast Adaptive Selection of Best Views

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