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An Algebraic Method for Estimating the Fundamental Matrix with Rank Constraint
Journal Title Journal of Computers
Journal Abbreviation jcp
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title An Algebraic Method for Estimating the Fundamental Matrix with Rank Constraint
Authors Yao, Tianshun; Zhang, Bin; Wang, Yuanbin
Abstract The fundamental matrix captures the intrinsic geometric properties of two images of a same 3D scene. It should be of rank two for all the epipolar lines to intersect in a unique epipole. Traditional methods of enforcing the rank two property of the matrix are to parameterize the fundamental matrix during the estimation. This usually results in a system of nonlinear multivariable polynomial equations of higher degree. The solution of which is then hand over to some numerical techniques. Numerical precision analysis and convergence proof of these solutions are needed but neglected. This paper studies the structure of the typical nonlinear multivariable polynomial equations encountered in the fundamental matrix estimation with rank constraint. An algebraic method is presented to solve this type of equations. The method is based on the classical Lagrange multipliers method. After careful transformations of the problem, we reduce the problem to the solution of a single variable polynomial equation.
Publisher ACADEMY PUBLISHER
Date 2010-07-01
Source Journal of Computers Vol 5, No 7 (2010)
Rights Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html.

 

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