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The Connect-The-Dots Family of Puzzles: Design and Automatic Generation

机译:点对点系列难题:设计和自动生成

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In this paper we introduce several innovative variants on the classicrnConnect-The-Dots puzzle. We study the underlying geometricrnprinciples and investigate methods for the automatic generation ofrnhigh-quality puzzles from line drawings.rnSpecifically, we introduce three new variants of the classic Connect-rnThe-Dots puzzle. These new variants use different rules for drawingrnconnections, and have several advantages: no need for printedrnnumbers in the puzzle (which look ugly in the final drawing), andrnperhaps more challenging “game play”, making the puzzles suitablernfor different age groups. We study the rules of all four variantsrnin the family, and design principles describing what makes a goodrnpuzzle. We identify general principles that apply across the differentrnvariants, as well as specific implementations of those principlesrnin the different variants. We make these mathematically precise inrnthe form of criteria a puzzle should satisfy.rnFurthermore, we investigate methods for the automatic generationrnof puzzles from a plane graph that describes the input drawing. Wernshow that the problem of generating a good puzzle –one satisfyingrnthe mentioned criteria– is computationally hard, and present severalrnheuristic algorithms.rnUsing our implementation for generating puzzles, we evaluate thernquality of the resulting puzzles with respect to two parameters: onernfor similarity to the original line drawing, and one for ambiguity;rni.e. what is the visual accuracy needed to solve the puzzle.
机译:在本文中,我们在classicrnConnect-The-Dots拼图上介绍了几种创新的变体。我们研究了基本的几何原理,并研究了从线条图中自动生成高质量拼图的方法。特别是,我们介绍了经典的Connect-TheDots拼图的三个新变体。这些新的变体使用不同的绘图规则,并具有多个优点:不需要在拼图中打印数字(在最终绘图中看起来很难看),并且可能更具挑战性的“游戏性”,使拼图适合不同年龄段的人。我们研究了家庭中所有四个变体的规则,并描述了构成良好拼图的设计原则。我们确定适用于不同变体的一般原则,以及这些原则在不同变体中的具体实现。我们使这些数学上精确的难题成为拼图应满足的标准形式。此外,我们从描述输入图形的平面图中研究自动生成难题的方法。韦恩(Wernshow)指出,生成一个好难题的问题(一个满足上述标准的难题)在计算上很困难,并提出了几种启发式算法。使用我们的生成难题的实现方式,我们就两个参数评估了生成的难题的质量:绘画,一个含糊; rni.e。解决难题所需的视觉准确性是多少?

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