Automatic Structural Scene Digitalization

TL;DR

This paper introduces an automatic, real-time system for analyzing and labeling CAD floor plans, combining rule-based filtering and image processing to accurately identify structural components, with high user satisfaction and broad accessibility.

Contribution

The paper presents a fully automatic and real-time system for structural scene analysis in CAD floor plans, integrating rule-based and image processing techniques for improved accuracy.

Findings

High accuracy in component detection and labeling.

System is fully automatic and real-time.

Widely used on a public platform with high user satisfaction.

Abstract

In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system applies a fusion strategy to detect and recognize various components of CAD floor plans, such as walls, doors, windows and other ambiguous assets. Technically, a general rule-based filter parsing method is fist adopted to extract effective information from the original floor plan. Then, an image-processing based recovery method is employed to correct information extracted in the first step. Our proposed method is fully automatic and real-time. Such analysis system provides high accuracy and is also evaluated on a public website that, on average, archives more than ten thousands effective uses per day and reaches a relatively high satisfaction rate.