Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/70958
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Type: Conference paper
Title: Triangulating a plane
Author: Olsson, C.
Eriksson, A.
Citation: Lecture Notes in Artificial Intelligence, 2011 / Heyden, A., Kahl, F. (ed./s), vol.6688 LNCS, pp.13-23
Publisher: Springer-Verlag Berlin
Publisher Place: Germany
Issue Date: 2011
Series/Report no.: Lecture Notes in Computer Science
ISBN: 9783642212260
ISSN: 0302-9743
1611-3349
Conference Name: Scandinavian Conference on Image Analysis (23 May 2011 - 27 May 2011 : Sweden)
Editor: Heyden, A.
Kahl, F.
Statement of
Responsibility: 
Carl Olsson and Anders Erikkson
Abstract: In this theoretical paper we consider the problem of accurately triangulating a scene plane. Rather than first triangulating a set of points and then fitting a plane to these points, we try to minimize the back-projection errors as functions of the plane parameters directly. As this is both geometrically and statistically meaningful our method performs better than the standard two step procedure. Furthermore, we show that the error residuals of this formulation are quasiconvex thereby making it very easy to solve using for example standard local optimization methods.
Rights: © Springer
DOI: 10.1007/978-3-642-21227-7_2
Grant ID: http://purl.org/au-research/grants/arc/DP0988439
Published version: http://dx.doi.org/10.1007/978-3-642-21227-7_2
Appears in Collections:Aurora harvest
Computer Science publications

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