Title :
An Algorithm for Estimating Fundamental Matrix Based on Removing the Exceptional Points
Author :
Rui, Liu ; Feng, Wang
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
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.
Keywords :
genetic algorithms; stereo image processing; visual perception; exceptional points removal; fundamental matrix estimation; genetic algorithm; Computational intelligence; Educational institutions; Equations; Genetics; Geometry; Image reconstruction; Iterative algorithms; Iterative methods; Least squares approximation; Robustness; Genetic Algorithm (GA); Sampson error; exceptional point; fundamental matrix;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.66
