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Scaling of Plane Figures That Assures Faithful Digitization

机译:平面图的缩放,以确保忠实的数字化

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In this paper we propose a method for obtaining a faithful digitization of certain broad classes of plane figures, so that the original continuous object and its digitization feature analogous geometric properties. The approach is based on an appropriate scaling of a given figure so that the obtained one admits digitization satisfying some desirable conditions. Informally speaking, we show that from certain point on, a continuous object and its digitization are in a sense equivalent. In terms of computational complexity, the scaling factor is easily computable. As a corollary of the presented theory we prove the strong NP-hardness of the problem of obtaining a polyhedron reconstruction in which the facets are trapezoids or triangles.
机译:在本文中,我们提出了一种用于获得某些广泛类别的平面图的忠实数字化的方法,使原始连续对象及其数字化具有类似的几何属性。该方法基于给定图的适当缩放,使得所获得的一个人承认满足某些所需条件的数字化。非正式地说,我们表明从某些点开始,连续对象及其数字化在某种意义上。在计算复杂性方面,缩放因子很容易被计算。作为本理论的推论,我们证明了获得多面体重建的问题的强大NP - 硬度,其中刻面是梯形或三角形。

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