3D Roof Details by 3D Aerial Vision

Franz Leberl; Philipp Meixner; M. Brédif

doi:10.1109/ICCVW.2011.6130245

3D Roof Details by 3D Aerial Vision

Franz Leberl, Philipp Meixner, M. Brédif

Institute of Computer Graphics and Vision (7100)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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%.

Original language	English
Title of host publication	2011 IEEE International Conference on Computer Vision Workshops
Place of Publication	Piscataway, NY
Publisher	Institute of Electrical and Electronics Engineers
Pages	212-218
ISBN (Print)	978-1-4673-0062-9
DOIs	https://doi.org/10.1109/ICCVW.2011.6130245
Publication status	Published - 2011
Event	IEEE International Conference on Computer Vision: ICCV 2011 - Barcelona, Spain Duration: 6 Nov 2011 → 13 Nov 2011

Conference

Conference	IEEE International Conference on Computer Vision
Abbreviated title	ICCV 2011
Country/Territory	Spain
City	Barcelona
Period	6/11/11 → 13/11/11

Fields of Expertise

Sonstiges

Access to Document

10.1109/ICCVW.2011.6130245

Cite this

@inproceedings{87ae63d2772b4d7180aa943e5ca1d9e0,

title = "3D Roof Details by 3D Aerial Vision",

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%.",

author = "Franz Leberl and Philipp Meixner and M. Br{\'e}dif",

note = "1st IEEE/ISPRS Workshop on Computer Vision for Remote Sensing of the Environment; IEEE International Conference on Computer Vision : ICCV 2011, ICCV 2011 ; Conference date: 06-11-2011 Through 13-11-2011",

year = "2011",

doi = "10.1109/ICCVW.2011.6130245",

language = "English",

isbn = "978-1-4673-0062-9",

pages = "212--218",

booktitle = "2011 IEEE International Conference on Computer Vision Workshops",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

TY - GEN

T1 - 3D Roof Details by 3D Aerial Vision

AU - Leberl, Franz

AU - Meixner, Philipp

AU - Brédif, M.

N1 - 1st IEEE/ISPRS Workshop on Computer Vision for Remote Sensing of the Environment

PY - 2011

Y1 - 2011

N2 - 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%.

AB - 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%.

U2 - 10.1109/ICCVW.2011.6130245

DO - 10.1109/ICCVW.2011.6130245

M3 - Conference paper

SN - 978-1-4673-0062-9

SP - 212

EP - 218

BT - 2011 IEEE International Conference on Computer Vision Workshops

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway, NY

T2 - IEEE International Conference on Computer Vision

Y2 - 6 November 2011 through 13 November 2011

ER -

3D Roof Details by 3D Aerial Vision

Abstract

Conference

Fields of Expertise

Access to Document

Fingerprint

Cite this