3-D building reconstruction with ARUBA: a qualitative and quantitative evaluation
OPEN ACCESS
Author / Producer
Date
1997
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Reliable and accurate 3-D reconstruction of man-made objects is essential for many applications using digital 3-D city models. Manual reconstruction of buildings from aerial images is time consuming and requires skilled personnel, hence large efforts are being directed towards the automation of building detection and reconstruction. In this paper we present ARUBA — a framework for automated 3-D building reconstruction. After highlighting our strategy and concisely describing the framework and its modules, we evaluate the reconstructed roofs relative to accurate reference data based on three criteria: completeness, geometric accuracy and shape similarity. Finally, we interpret the results of the performance evaluation and make suggestions for improvements.
Permanent link
Publication status
published
External links
Book title
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Journal / series
Volume
Pages / Article No.
65 - 76
Publisher
Birkhäuser
Event
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry