Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans

TL;DR

The paper presents the Semantic Interior Mapology toolbox, which converts architectural floor plans and room scans into detailed, vectorized 3D representations for indoor scene understanding and visualization.

Contribution

It introduces a novel toolbox combining floor plan tracing and room object population, enabling accurate, semi-automatic indoor scene modeling from architectural plans and RGB-D scans.

Findings

Produces accurate 3D indoor maps from floor plans and scans.

Easy to use with complex building layouts.

Integrates with web-based 3D visualization tools.

Abstract

We introduce the Semantic Interior Mapology (SIM) toolbox for the conversion of a floor plan and its room contents (such as furnitures) to a vectorized form. The toolbox is composed of the Map Conversion toolkit and the Map Population toolkit. The Map Conversion toolkit allows one to quickly trace the layout of a floor plan, and to generate a GeoJSON file that can be rendered in 3D using web applications such as Mapbox. The Map Population toolkit takes the 3D scan of a room in the building (acquired from an RGB-D camera), and, through a semi-automatic process, populates individual objects of interest with a correct dimension and position in the GeoJSON representation of the building. SIM is easy to use and produces accurate results even in the case of complex building layouts.