Characterising Building Geometry at Scale

Building geometry is significant in many ways such as the urban building retrofit and building stock analysis. However, the current approaches to collect building geometry data is highly limited to on-site survey or pre-registered data. The project aims to develop a method which utilises computer vision technologies to characterise building geometry data at scale with a high automation level.