Fast Adaptive Selection of Best Views
Fast Adaptive Selection of Best Views
复制标题
最佳视图的快速自适应选择
DOI：
10.1007/3-540-44842-x_31
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
M. Sbert
中科院分区：
文献类型：
--
作者：
Pere;M. Sbert
自动计算对象的最佳视图是非常有用的。例如，它们可以用作场景探索的起点，或者通过添加图像模型来丰富通过互联网提供的对象画廊，该模型可以帮助决定是否值得下载。为了选择对象的最有趣的视点，我们使用所谓的视点熵。最佳视图是提供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的方法来计算最佳视图。我们的自适应方案允许改善以前的方法的时间的选择最佳的意见由一个数量级，并实现了近互动率。
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.