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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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