A novel approach to 2D drawings-based reconstruction of 3D building digital models

Abstract

There is an opportunity to significantly impact building energy efficiency through BIM-enabled, simulation-intensive, cost-effective renovation actions. One major hurdle however is the lack of 3D digital models for the majority of existing buildings. Cost-effective and widely applicable methods and tools are required for the reconstruction of 3D digital models from available information. In this scope, this paper presents ongoing research about the development of tools for semi-automated 3D building model generation from 2D scanned plans. More specifically, the paper focuses on the description of an innovative reconstruction process based on a combination of automated processing and punctual, softwareassisted, user intervention. The paper also gives an account of the experiments lead with a research prototype, tested on 90 real architectural floor plans. The results are encouraging and suggest that the mix of software-assistance and focused human intervention may be the best trade-off to upgrade the quality of the generated models and to achieve cost-effectiveness.

Algorithm for Removing Duplicate Vertices from 3D Spatial Objects to Improve Service Efficiency

“…(4,5) However, this approach is cost-intensive and time-consuming. To address this limitation, significant research efforts have been devoted to using existing data for efficient 3D data generation; for example, 3D building modeling methods using 2D scanned plans or aerial imagery products provided by Internet map services, (6,7) or images captured from unmanned aerial vehicles instead of expensive aerial photogrammetry or aerial LiDAR data. (8) It is also necessary to develop technologies for improving the 3D data service efficiency.…”