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Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser

机译:表示和解析使用邻接语法的速写符号和网格定向的解析器

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While much work has been done in Structural and Syntactical Pattern Recognition applied to drawings, most approaches are non-interactive. However, the recent emergence of viable pen-computers makes it desirable to handle pen-input such as sketches and drawings interactively. This paper presents a syntax-directed approach to parse sketches based on Relational Adjacency Grammars, which describe spatial and topological relations among parts of a sketch. Our approach uses a 2D grid to avoid re-scanning all the previous input whenever new strokes entered into the system, thus speeding up parsing considerably. To evaluate the performance of our approach we have tested the system using non-trivial inputs analyzed with two different grammars, one to design user interfaces and the other to describe floor-plans. The results clearly show the effectiveness of our approach and demonstrate good scalability to larger drawings.
机译:虽然在适用于图纸的结构和句法模式识别中已经做了很多工作,但大多数方法都是非交互式的。然而,最近的可行性笔 - 计算机的出现使得希望以交互方式处理诸如草图和绘图的笔输入。本文介绍了一种基于关系邻接语法解析草图的语法导向方法,这描述了草图部分之间的空间和拓扑关系。我们的方法使用2D网格来避免在输入到系统中的新笔划时重新扫描所有先前的输入,从而加速解析。为了评估我们的方法的性能,我们已经使用用两种不同的语法进行分析的非普通输入来测试系统,一个用于设计用户界面,另一个用于描述地板计划。结果清楚地表明了我们方法的有效性,并对更大的图纸表现出良好的可扩展性。

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