Increase the level of detail of 3D building models with close-range images

Meng Ju Lee, Fuan Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Currently, most of cyber city systems utilize low level of detail building models. This research develops systematic methods to increase the level of detail of OGC (OpenGeospatial Consortium) LOD2 building models using close-range images. The developed algorithms use image features and characteristics of building structures in real world with semantic analysis and digital image processing to recognize the structure objects like windows, doors, balconies, etc. Secondly, space intersection is employed to determine the dimensions and positions of the structure objects. The identified objects are then added into existing building models to increase their level of detail. The developed methods can be used to generate 3D building models with higher level of detail more effectively and efficiently.

原文???core.languages.en_GB???
主出版物標題31st Asian Conference on Remote Sensing 2010, ACRS 2010
頁面380-385
頁數6
出版狀態已出版 - 2010
事件31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
持續時間: 1 11月 20105 11月 2010

出版系列

名字31st Asian Conference on Remote Sensing 2010, ACRS 2010
1

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???event.eventtypes.event.conference???31st Asian Conference on Remote Sensing 2010, ACRS 2010
國家/地區Viet Nam
城市Hanoi
期間1/11/105/11/10

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