Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7127
Title: Automatic reconstruction of cities from remote sensor data
Authors: You, S. 
Poullis, Charalambos 
Keywords: Computer vision;Optical radar;Imaging, Three-Dimensional
Issue Date: 2009
Publisher: IEEE
Source: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009, Miami
Abstract: Abstract In this paper, we address the complex problem of rapid modeling of large-scale areas and present a novel approach for the automatic reconstruction of cities from remote sensor data. The goal in this work is to automatically create lightweight, watertight polygonal 3D models from LiDAR data(Light Detection and Ranging) captured by an airborne scanner. This is achieved in three steps: preprocessing, segmentation and modeling, as shown in Figure 1. Our main technical contributions in this paper are: (i) a novel, robust, automatic segmentation technique based on the statistical analysis of the geometric properties of the data, which makes no particular assumptions about the input data, thus having no data dependencies, and (ii) an efficient and automatic modeling pipeline for the reconstruction of large-scale areas containing several thousands of buildings. We have extensively tested the proposed approach with several city-size datasets including downtown Baltimore, downtown Denver, the city of Atlanta, downtown Oakland, and we present and evaluate the experimental results.
URI: http://ktisis.cut.ac.cy/handle/10488/7127
DOI: 10.1109/CVPRW.2009.5206562
Rights: ©2009 IEEE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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