A High-Accuracy Algorithm for Computing Fundamental Matrix

Author

Yinan, Sun ; Weijun, Liu ; Yong-Zhuang, Ma ; Wang, Yuechao

Author_Institution

Shenyang Inst. of Autom., Chinese Acad. of Sci.,, Shenyang

fYear

2004

fDate

22-26 Aug. 2004

Firstpage

733

Lastpage

736

Abstract

This paper analyses the different influence on the fundamental matrix (F matrix) by the different matched points in images and the weighted factor is introduced to express the distance between the matched point and the epipolar line which has the obvious geometry meaning. The paper looks the set of matched points as a random variable and the weighted factor as the probability distribution. Based on this, the normalization is processed to the origin image data and the F matrix is gotten used the 8-point algorithm. Experimental results show that this algorithm obviously deduces the residual errors and the calculated precision of F matrix is improved notably

Keywords

computational geometry; computer vision; image matching; matrix algebra; statistical distributions; 8-point algorithm; F matrix; epipolar geometry; epipolar line; fundamental matrix; machine vision; probability distribution; residual errors; weighted factor; Computational geometry; Image analysis; Information geometry; Machine vision; Manufacturing automation; Motion estimation; Pulp manufacturing; Random variables; Robot vision systems; Sun; epipolar geometry; fundamental matrix; machine vision; weighted factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on

Conference_Location

Shenyang

Print_ISBN

0-7803-8614-8

Type

conf

DOI

10.1109/ROBIO.2004.1521872

Filename

1521872