AUTOMATION OF THERMAL POINT CLOUDS ANALYSIS FOR THE EXTRACTION OF WINDOWS AND THERMAL BRIDGES OF BUILDING FACADES
In the context of building renovation, energy audits of buildings are performed in order to reduce energy consumption and greenhouse gas emissions. Infrared cameras allow analyzing precisely the energetic performances and the thermal comfort of a building and the analysis of thermal images of buildings represents a key step on the way to the reduction of energy consumption. In the last few years, the combination of thermal and metric information has been increasingly studied. The geometry provides the exact location of defects and enables accurate energy analysis. This paper focuses on the automatic analysis of facades point clouds with thermal attributes. The aim of our work is to extract windows and thermal bridges by considering both geometric and thermal features. The extraction of objects or zones of interest in thermal data consists in the detection of significant temperature variations. The developed approach, mainly based on the automatic analysis of histograms, is applied to a point cloud acquired by a Mobile Mapping Unit.