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a.SCatch: Semantic Structure for Architectural Floor Plan Retrieval

机译:A.Catch:建筑楼层定期检索的语义结构

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摘要

Architects’ daily routine involves working with drawings. They use either a pen or a computer to sketch out their ideas or to do a drawing to scale. We therefore propose the use of a sketch-based approach when using the floor plan repository for queries. This enables the user of the system to sketch a schematic abstraction of a floor plan and search for floor plans that are structurally similar. We also propose the use of a visual query language, and a semantic structure as put forward by Langenhan. An algorithm extracts the semantic structure sketched by the architect on DFKI’s Touch& Write table and compares the structure of the sketch with that of those from the floor plan repository. The a.SCatch system enables the user to access knowledge from past projects easily. Based on CBR strategies and shape detection technologies, a sketch-based retrieval gives access to a semantic floor plan repository. Furthermore, details of a prototypical application which allows semantic structure to be extracted from image data and put into the repository semi-automatically are provided.
机译:建筑师的日常工作包括处理图纸。他们使用笔或计算机来勾勒出他们的想法或按比例绘制图纸。因此,当使用平面图存储库进行查询时,我们建议使用基于草图的方法。这使系统的用户能够绘制平面图的示意图抽象并搜索结构相似的平面图。我们还建议使用视觉查询语言和Langenhan提出的语义结构。一种算法提取出建筑师在DFKI的Touch&Write表上绘制的语义结构,并将草图的结构与平面图存储库中的草图结构进行比较。 a.SCatch系统使用户可以轻松访问过去项目中的知识。基于CBR策略和形状检测技术,基于草图的检索可访问语义平面图存储库。此外,提供了原型应用程序的详细信息,该应用程序允许从图像数据中提取语义结构并将其半自动地放入存储库中。

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