Large-Scale Architectural Asset Extraction from Panoramic Imagery
Peihao Zhu, Wamiq Reyaz Para, Anna Frühstück, John C. Femiani, Peter Wonka · IEEE Transactions on Visualization and Computer Graphics · 2020
We present a system to extract architectural assets from large-scale collections of panoramic imagery. We automatically rectify and crop parts of the panoramic image that contain dominant planes, and then use object detection to extract assets such as façades and windows. We also provide various tools to identify attributes of the assets to determine the asset quality and index the assets for search. In addition, we propose a User Interface (UI) to visualize and query assets. Finally, we present applications for urban modeling and texture synthesis.