TY - JOUR
T1 - Large Scale Architectural Asset Extraction from Panoramic Imagery
AU - Zhu, Peihao
AU - Para, Wamiq Reyaz
AU - Fruehstueck, Anna
AU - Femiani, John
AU - Wonka, Peter
N1 - KAUST Repository Item: Exported on 2021-03-23
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/668200
UR - https://ieeexplore.ieee.org/document/9145640/
U2 - 10.1109/TVCG.2020.3010694
DO - 10.1109/TVCG.2020.3010694
M3 - Article
C2 - 32746280
SN - 2160-9306
SP - 1
EP - 1
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
ER -