Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29499
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Type: Conference paper
Title: A new constrained parameter estimator: experiments in fundamental matrix computation
Author: Van Den Hengel, A.
Chojnacki, W.
Brooks, M.
Gawley, D.
Citation: BMVC 2002 : proceedings of the 13th British Machine Vision Conference : 2nd-5th September 2002, Cardiff University / Paul L. Rosin, David Marshall (eds.), pp. 468-476
Publisher: British Machine Vision Association
Publisher Place: UK
Issue Date: 2002
ISBN: 1901725197
9781901725193
Conference Name: British Machine Vision Conference (13th : 2002 : Cardiff University)
Editor: Rosin, P.L.
Marshall, D.
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.
Description: Session: Computer Vision Tools
Rights: © BMVA 2002
DOI: 10.5244/C.16.45
Published version: http://www.informatik.uni-trier.de/~ley/db/conf/bmvc/bmvc2002.html
Appears in Collections:Aurora harvest 6
Computer Science publications

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