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Approximating optimal sets of views in virtual scenes

机译:在虚拟场景中近似最佳视图集

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摘要

Viewpoint quality estimation methods allow the determination of the most informative position in a scene. However, a single position usually cannot represent an entire scene, requiring instead a set of several viewpoints. Measuring the quality of such a set of views, however, is not trivial, and the computation of an optimal set of views is an NP-hard problem. Therefore, in this work, we propose three methods to estimate the quality of a set of views. Furthermore, we evaluate three approaches for computing an approximation to the optimal set (two of them new) regarding effectiveness and efficiency.
机译:观点质量估计方法允许确定场景中最具信息的位置。但是,单个位置通常不能代表整个场景,而不是一组多个观点。然而,测量如此一组视图的质量并不琐碎,并且对最佳视图集的计算是NP难题。因此,在这项工作中,我们提出了三种方法来估计一组观点的质量。此外,我们评估三种方法用于计算近似的近似值(其中两个新的)关于有效性和效率。

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