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Automatic Registration of Approximately Leveled Point Clouds of Urban Scenes : Volume Ii-3/W5, Issue 1 (19/08/2015)

By Moussa, A.

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Book Id: WPLBN0004013887
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Automatic Registration of Approximately Leveled Point Clouds of Urban Scenes : Volume Ii-3/W5, Issue 1 (19/08/2015)  
Author: Moussa, A.
Volume: Vol. II-3/W5, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Moussa, A., & Elsheimy, N. (2015). Automatic Registration of Approximately Leveled Point Clouds of Urban Scenes : Volume Ii-3/W5, Issue 1 (19/08/2015). Retrieved from http://community.worldlibrary.net/


Description
Description: Dept. of Geomatics Engineering, University of Calgary, Calgary, Canada. Registration of point clouds is a necessary step to obtain a complete overview of scanned objects of interest. The majority of the current registration approaches target the general case where a full range of the registration parameters search space is assumed and searched. It is very common in urban objects scanning to have leveled point clouds with small roll and pitch angles and with also a small height differences. For such scenarios the registration search problem can be handled faster to obtain a coarse registration of two point clouds. In this paper, a fully automatic approach is proposed for registration of approximately leveled point clouds. The proposed approach estimates a coarse registration based on three registration parameters and then conducts a fine registration step using iterative closest point approach. The approach has been tested on three data sets of different areas and the achieved registration results validate the significance of the proposed approach.

Summary
AUTOMATIC REGISTRATION OF APPROXIMATELY LEVELED POINT CLOUDS OF URBAN SCENES

 

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