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Graph Structure Extraction from Floor Plan Images and Its Application to Similar Property Retrieval

机译:图形结构从地面平面图像提取及其在类似特性检索的应用

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Floor plan images describe the layout of real estates. Although they provide essential information on properties for evaluating their value, they are intractable for computers due to various drawing styles owing to lack of standard formats. The purpose of this paper is to automatically transform a floor plan image into a graph that is well-structured and mathematically well-defined representation. This approach facilitates comparing and evaluating floor plans and can be applied to many systems handling floor plans. Our method achieves it with 92% accuracy. Furthermore, we show similar property retrieval using the extracted graphs as an example of possible applications.
机译:地板平面图描述了真正的房屋的布局。 虽然它们提供有关评估其价值的属性的基本信息,但由于由于缺乏标准格式,因此由于各种绘图样式而难以解决的计算机。 本文的目的是自动将楼层平面图像变为结构良好的结构和数学良好定义的表示。 这种方法有助于比较和评估楼层计划,可以应用于许多系统处理平面图。 我们的方法精度为92%。 此外,我们使用提取的图形显示类似的属性检索作为可能的应用程序的示例。

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