Large-Scale Architectural Asset Extraction from Panoramic Imagery
Peihao Zhu, Wamiq Reyaz Para, Anna Frühstück, John Femiani, Peter Wonka
Abstract
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.
Topics & Concepts
Computer scienceScale (ratio)Asset (computer security)VisualizationObject (grammar)User interfaceSemantics (computer science)Computer graphics (images)Computer visionArtificial intelligenceDatabaseComputer securityCartographyGeographyProgramming languageOperating systemAdvanced Image and Video Retrieval Techniques3D Surveying and Cultural HeritageRemote Sensing and LiDAR Applications