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BMVC
2002

A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation

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A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation
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 fast.
Anton van den Hengel, Michael J. Brooks, Wojciech
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2002
Where BMVC
Authors Anton van den Hengel, Michael J. Brooks, Wojciech Chojnacki, Darren Gawley
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