Grey correlation analysis method for monocular vision pose measurement error

Yaru Li; Ruijie Zhang; Yingqi Tang; Li Yang; Wensong Jiang; Yinbao Cheng; Dian Bian; Zai Luo

doi:10.1117/12.3032882

13 September 2024 Grey correlation analysis method for monocular vision pose measurement error

Yaru Li, Ruijie Zhang, Yingqi Tang, Li Yang, Wensong Jiang, Yinbao Cheng, Dian Bian, Zai Luo

Author Affiliations +

Proceedings Volume 13178, Eleventh International Symposium on Precision Mechanical Measurements; 1317822 (2024) https://doi.org/10.1117/12.3032882
Event: Eleventh International Symposium on Precision Mechanical Measurements, 2023, Guangzhou, China

Abstract

Aiming at the impact of multiple factors on the accuracy of monocular visual pose measurement system, grey correlation method is used to analyze the pose measurement errors of 11 independent variable parameters, including radial distortion error, tangential distortion error, image point error, normalized focal length error and center point error. The main factors affecting the pose accuracy are obtained, which proves the effectiveness of the grey correlation method for visual system error analysis. The calculation results show that the comprehensive correlation degree between absolute error sequence and zero sequence caused by five types of parameters of radial distortion, tangential distortion, image point coordinate error, normalized focal length error and center point error is less than 0.56, which is significantly lower than other parameters, indicating that its influence on measurement accuracy is significantly higher than other parameters.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yaru Li, Ruijie Zhang, Yingqi Tang, Li Yang, Wensong Jiang, Yinbao Cheng, Dian Bian, and Zai Luo "Grey correlation analysis method for monocular vision pose measurement error", Proc. SPIE 13178, Eleventh International Symposium on Precision Mechanical Measurements, 1317822 (13 September 2024); https://doi.org/10.1117/12.3032882

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE