平面正交图的最优形态

A. V. Goethem, Kevin Verbeek
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引用次数: 7

摘要

我们描述了一个在连通图$G$的两个平面正交图$\Gamma_I$和$\Gamma_O$之间变换的算法,同时保持了平面性和正交性。必须$\Gamma_I$和$\Gamma_O$共享相同的组合嵌入。我们的变形使用线性数量的线性变形(两幅图之间的线性插值),并在整个过程中保持线性复杂性,从而回答了Biedl等人提出的一个开放性问题。我们的算法首先统一了两个图纸,以确保每个边缘上的(虚拟)弯曲数量相等。然后我们将弯曲解释为顶点,这些顶点构成了所谓的线的障碍:将$\Gamma_O$的顶点分开的水平线和垂直线。这些线定义了关于$G$顶点的同伦类(对于$G$由$\Gamma_I$和$\Gamma_O$共享的组合嵌入)。这些同伦类可以用$\Gamma_I$中的正交折线表示。我们认为,这两幅图之间的结构差异可以通过$\Gamma_I$中的螺旋线来捕捉,这引导了我们从$\Gamma_I$到$\Gamma_O$的变化。
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Optimal Morphs of Planar Orthogonal Drawings
We describe an algorithm that morphs between two planar orthogonal drawings $\Gamma_I$ and $\Gamma_O$ of a connected graph $G$, while preserving planarity and orthogonality. Necessarily $\Gamma_I$ and $\Gamma_O$ share the same combinatorial embedding. Our morph uses a linear number of linear morphs (linear interpolations between two drawings) and preserves linear complexity throughout the process, thereby answering an open question from Biedl et al. Our algorithm first unifies the two drawings to ensure an equal number of (virtual) bends on each edge. We then interpret bends as vertices which form obstacles for so-called wires: horizontal and vertical lines separating the vertices of $\Gamma_O$. These wires define homotopy classes with respect to the vertices of $G$ (for the combinatorial embedding of $G$ shared by $\Gamma_I$ and $\Gamma_O$). These homotopy classes can be represented by orthogonal polylines in $\Gamma_I$. We argue that the structural difference between the two drawings can be captured by the spirality of the wires in $\Gamma_I$, which guides our morph from $\Gamma_I$ to $\Gamma_O$.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.
期刊最新文献
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