Abstract
Virtual cities in a 3D GIS will not be complete without the details of roofs with chimneys, dormer windows, skylights. We contribute a method of extracting such details from digital large format aerial photography. The dense point clouds produced by a photogrammetric process produce major and minor plane surfaces of a roof and enter into a classification of its superstructures. In real city data with a total of 1312 superstructures the proposed automated process finds 1024, thus achieving success at a rate of 78%.
Originalsprache | englisch |
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Titel | 2011 IEEE International Conference on Computer Vision Workshops |
Erscheinungsort | Piscataway, NY |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers |
Seiten | 212-218 |
ISBN (Print) | 978-1-4673-0062-9 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2011 |
Veranstaltung | IEEE International Conference on Computer Vision: ICCV 2011 - Barcelona, Spanien Dauer: 6 Nov. 2011 → 13 Nov. 2011 |
Konferenz
Konferenz | IEEE International Conference on Computer Vision |
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Kurztitel | ICCV 2011 |
Land/Gebiet | Spanien |
Ort | Barcelona |
Zeitraum | 6/11/11 → 13/11/11 |
Fields of Expertise
- Sonstiges