A Feature Points Matching Method for Calibration Target Images

Author

Guan, Xu ; Jian, Su ; Hongda, Pan ; Zhiguo, Zhang ; Haibin, Gong

Author_Institution

Traffic & Transp. Coll., Jilin Univ., Changchun, China

Volume

2

fYear

2009

fDate

28-30 Oct. 2009

Firstpage

263

Lastpage

266

Abstract

Feature matching is a crucial research in computer vision. For realizing the effective and accurate feature matching for the feature points in the images of chessboard calibration target used in the wheel alignment system, the popular calculation algorithms are analyzed. The traditional polar constraint and polar equation for solving the problem constructing the relationship between corresponding points are indicated. A novel process which is special for matching calibration target images including sequential consistency constraint, polar constraint, distance constraint, uniqueness constraint are presented. Experimental results show that the matching precision and reliability of the method meet the requirements of the vision detection system for vehicle wheel alignment.

Keywords

calibration; computer vision; feature extraction; image matching; wheels; calibration target image matching; chessboard calibration target; computer vision; distance constraint; feature points matching; polar constraint; polar equation; sequential consistency constraint; uniqueness constraint; wheel alignment system; Calibration; Cameras; Computational complexity; Computer science; Computer vision; Equations; Image segmentation; Transportation; Vehicle detection; Wheels; automobile detection; calibration target; computer vision; feature matching; wheel alignment system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-3881-5

Type

conf

DOI

10.1109/WCSE.2009.809

Filename

5403285