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Exploring the world of fonts for discovering the most standard fonts and the missing fonts

机译:探索字体世界,以发现最标准的字体和缺失的字体

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This paper has two contributions toward understanding the principles in font design. The first contribution of this paper is to discover the most standard font shape of each letter class by analyzing thousands of different fonts. For this analysis, two different methods are used. The first method is congealing for aligning multiple images based on a nonlinear geometric transformation model. The average of the aligned image is considered as a standard font shape. The second method is network analysis for representing font variations as a large-scale relative neighborhood graph (RNG) and then finding its center. The font corresponding to the center is considered as the standard font shape. Both of the standard font shapes given by the two methods are plain without decoration, serif, or slant, and thus give an objective reason why we consider the plain font as the typical font shape. The second contribution is to utilize the RNG and the pairwise congealing technique for discovering unexplored font designs and then generating totally new fonts automatically.
机译:本文对理解字体设计的原理有两个贡献。本文的第一个贡献是通过分析成千上万种不同的字体来发现每个字母类的最标准字体形状。对于此分析,使用了两种不同的方法。第一种方法是基于非线性几何变换模型的用于对齐多个图像的凝结方法。对齐图像的平均值被视为标准字体形状。第二种方法是网络分析,用于将字体变化表示为大规模相对邻域图(RNG),然后找到其中心。与中心相对应的字体被视为标准字体形状。两种方法给出的两种标准字体形状均为无装饰,衬线或倾斜的普通字体,因此客观地给出了为什么我们将普通字体视为典型字体形状的原因。第二个贡献是利用RNG和成对凝结技术来发现未开发的字体设计,然后自动生成全新的字体。

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