Generation of 3D City Models Using Domain-Specific Information Fusion

Authors:
Jens Behley;Volker Steinhage
Affiliations:
Institute of Computer Science III, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany 53117;Institute of Computer Science III, Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany 53117
Venue:
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Year:
2009

Citing 8
Cited 0

Using Perceptual Organization to Extract 3D Structures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics (2nd ed. in C): principles and practice

Computer graphics (2nd ed. in C): principles and practice
Extracting buildings from aerial images using hierachical aggregation in 2D and 3D

Computer Vision and Image Understanding
Automatic object extraction from aerial imagery—a survey focusing on buildings

Computer Vision and Image Understanding
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures

Communications of the ACM
Recognition and reconstruction of buildings from multiple aerial images

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this contribution we present a building reconstruction strategy using spatial models of building parts and information fusion of aerial image, digital surface model and ground plans. The fusion of sensor data aims to derive reliably local building features and is therefore controlled in a domain specific way: ground plans indicate the approximate location of outer roof corners and the intersection of planes from the digital surface model yields the inner roof corners. Parameterized building parts are selected using these corners and afterwards combined to form complete three-dimensional building models. We focus here on the domain specific information fusion and present results on a sub-urban dataset.