Study on a Robust Least Squares, Scene Matching Algorithm

Author

Zhao, Long ; Chen, Zhe

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9699

Lastpage

9702

Abstract

In order to improve the matching precision and speed, a robust least square matching algorithm (RLSMA) is presented in the scene matching system. A scene matching mode (SMM) is established by analyzing the relationship of gray level between real-time image and referenced image. The formulation of RLSMA based on the characteristic of SMM is obtained, and a new condition for the iterative process to stop is presented. RLSMA is applied to the scene matching system, and compared with least square matching algorithm (LSMA). The simulation results demonstrate that RLSMA is better than LSMA in the matching precision and speed, and the condition for the iterative process to stop is effective

Keywords

image matching; iterative methods; least squares approximations; gray level relationship; iterative process; least square scene matching algorithm; real-time image; referenced image; scene matching mode; Automation; Image analysis; Intelligent control; Iterative algorithms; Layout; Least squares methods; Mathematical model; Mathematics; Navigation; Robustness; iterative condition; matching algorithm; mathematic model; robust least squares; scene matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713886

Filename

1713886