Large Scale Architectural Asset Extraction from Panoramic Imagery

Peihao Zhu, Wamiq Reyaz Para, Anna Fruehstueck, John Femiani, Peter Wonka

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Visualization and Computer Graphics
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2021-03-23


Dive into the research topics of 'Large Scale Architectural Asset Extraction from Panoramic Imagery'. Together they form a unique fingerprint.

Cite this