Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Informatics, School of >
Informatics thesis and dissertation collection >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/319

This item has been viewed 62 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
IP030017.pdf3.31 MBAdobe PDFView/Open
Title: Improving architectural 3D reconstruction by constrained modelling
Authors: Cantzler, Helmut
Supervisor(s): Fisher, Robert B.
McKenzie, Eric
Issue Date: Jul-2003
Publisher: University of Edinburgh. College of Science and Engineering. School of Informatics.
Abstract: This doctoral thesis presents new techniques for improving the structural quality of automatically-acquired architectural 3D models. Common architectural properties such as parallelism and orthogonality of walls and linear structures are exploited. The locations of features such as planes and 3D lines are extracted from the model by using a probabilistic technique (RANSAC). The relationships between the planes and lines are inferred automatically using a knowledge-based architectural model. A numerical algorithm is then used to optimise the position and orientations of the features taking constraints into account. Small irregularities in the model are removed by projecting the irregularities onto the features. Planes and lines in the resulting model are therefore aligned properly to each other, and so the appearance of the resulting model is improved. Our approach is demonstrated using noisy data from both synthetic and real scenes.
Description: Institute of Perception, Action and Behaviour
URI: http://hdl.handle.net/1842/319
Appears in Collections:Informatics thesis and dissertation collection

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy