Large Scale Architectural Asset Extraction from Panoramic Imagery
Type
ArticleKAUST Department
Computer ScienceComputer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Date
2020Permanent link to this record
http://hdl.handle.net/10754/668200
Metadata
Show full item recordAbstract
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 facades 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 UI to visualize and query assets. Finally, we present applications for urban modeling and texture synthesis.Citation
Zhu, P., Para, W. R., Fruehstueck, A., Femiani, J., & Wonka, P. (2020). Large Scale Architectural Asset Extraction from Panoramic Imagery. IEEE Transactions on Visualization and Computer Graphics, 1–1. doi:10.1109/tvcg.2020.3010694Additional Links
https://ieeexplore.ieee.org/document/9145640/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9145640
ae974a485f413a2113503eed53cd6c53
10.1109/TVCG.2020.3010694