An Algorithm for Estimating Fundamental Matrix Based on Removing the Exceptional Points

In this paper, an algorithm for estimating fundamental matrix based on removing the exceptional points is proposed. It uses normalized 8-point algorithm to estimate the initial value of the fundamental matrix, and then refines it by eliminating the exceptional points. Furthermore, the genetic algori...

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Bibliographic Details
Published in:2009 International Conference on Computational Intelligence and Natural Computing : 6-7 June 2009 Vol. 1; pp. 88 - 90
Main Authors: Liu Rui, Wang Feng
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2009
Subjects:
Computational intelligence
Educational institutions
Equations
exceptional point
fundamental matrix
Genetic Algorithm (GA)
Genetics
Geometry
Image reconstruction
Iterative algorithms
Iterative methods
Least squares approximation
Robustness
Sampson error
ISBN:9780769536453, 076953645X
Online Access:Get full text
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Summary:In this paper, an algorithm for estimating fundamental matrix based on removing the exceptional points is proposed. It uses normalized 8-point algorithm to estimate the initial value of the fundamental matrix, and then refines it by eliminating the exceptional points. Furthermore, the genetic algorithm (GA) is used to optimize the initial fundamental matrix by minimizing the Sampson error. Experiment results show that our algorithm is quite correct and reasonable for estimating the fundamental matrix.
ISBN:9780769536453
076953645X
DOI:10.1109/CINC.2009.66