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

被引：0
|
作者：
Liu Rui [1 ]
Wang Feng [1 ]
机构：
[1] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou 450000, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词：
fundamental matrix; Sampson error; exceptional point; Genetic Algorithm(GA);
D O I：
10.1109/CINC.2009.66
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：88 / 90
页数：3
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