Facade Image

Facade image analysis focuses on extracting meaningful information from images of building exteriors, primarily for applications in urban planning, building information modeling (BIM), and energy efficiency assessments. Current research emphasizes automated methods for object detection (e.g., windows, doors), 3D reconstruction, and semantic segmentation using deep learning architectures like transformers and convolutional neural networks (CNNs), often incorporating geometric features to improve accuracy. These advancements enable more efficient and accurate building modeling, improved energy performance analysis, and facilitate applications such as autonomous driving and urban renewal planning.