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

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.