Automated Material and Damage Detection in Buildings using Computer Vision
Master Thesis Status: open Supervisor: Martin Kampel Automated Material and Damage Detection in Buildings using Computer Vision The goal of this thesis is to develop and evaluate computer vision and machine learning methods for the digital inventory of buildings. The focus is on the automated recognition of building materials as well as the detection and … Continue reading Automated Material and Damage Detection in Buildings using Computer Vision