3D roof details by 3D aerial vision

Author

Meixner, Philipp ; Leberl, Franz ; Brédif, Mathieu

Author_Institution

Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria

fYear

2011

fDate

6-13 Nov. 2011

Firstpage

212

Lastpage

218

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%.

Keywords

feature extraction; geographic information systems; geophysical image processing; image classification; image retrieval; solid modelling; virtual reality; 3D GIS; 3D aerial vision; 3D roof details; dense point clouds; detail extraction; digital large format aerial photography; geographic information system; photogrammetric process; superstructure classification; virtual cities; Buildings; Cities and towns; Geographic Information Systems; Image edge detection; Photography; Smoothing methods; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

978-1-4673-0062-9

Type

conf

DOI

10.1109/ICCVW.2011.6130245

Filename

6130245