Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/29499
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: BMVA
Publisher Place: UK
Issue Date: 2002
ISBN: 1901725197
Conference Name: British Machine Vision Conference (13th : 2002 : Cardiff University)
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: © BMVA 2002
RMID: 0020021422
Published version: http://www.bmva.ac.uk/bmvc/2002/papers/176/full_176.pdf
Appears in Collections:Computer Science publications

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