Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116354
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Type: Conference paper
Title: A new constrained parameter estimator: experiments in fundamental matrix computation
Author: Hengel, A.V.D.
Brooks, M.J.
Chojnacki, W.
Gawley, D.
Citation: Proceedings of the British Machine Vision Conference 2002, BMVC 2002, 2002 / Rosin, P.L., Marshall, A.D. (ed./s), pp.468-476
Publisher: British Machine Vision Association
Issue Date: 2002
ISBN: 1901725197
9781901725193
Conference Name: 13th British Machine Vision Conference 2002 (BMVC 2002) (02 Sep 2002 - 05 Sep 2002 : Cardiff, UK)
Statement of
Responsibility: 
Anton van den Hengel, Wojciech Chojnacki, Michael J. Brooks, Darren Gawley
Abstract: In recent work the authors proposed a wide-ranging method for estimating parameters that constrain image feature locations and satisfy a constraint not involving image data. The present work illustrates the use of the method with experiments concerning estimation of the fundamental matrix. Results are given for both synthetic and real images. It is demonstrated that the method gives results commensurate with, or superior to, previous approaches, with the advantage of being faster than comparable methods.
Rights: Copyright status unknown
RMID: 0030045451
DOI: 10.5244/C.16.45
Published version: http://www.informatik.uni-trier.de/~ley/db/conf/bmvc/bmvc2002.html
Appears in Collections:Australian Institute for Machine Learning publications

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