Sensitivity analysis of the error factors in the binocular vision measurement system

Dingfei Jin; Yue Yang

doi:10.1117/1.OE.57.10.104109

20 October 2018 Sensitivity analysis of the error factors in the binocular vision measurement system

Dingfei Jin, Yue Yang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 10, 104109 (October 2018). https://doi.org/10.1117/1.OE.57.10.104109

Abstract

A method based on uniform experimental design and the backpropagation (BP) neural network to analyze the sensitivity of measurement errors in the binocular vision system is proposed. Six main error factors that affect the measurement accuracy of the system are summarized according to the binocular vision principle. The measurement experiment was carried out based on uniform design. The mapping relationship between the total measurement error and each error factor was established by BP neural network. Then the sensitivity coefficient of each error factor can be calculated by this mapping. These sensitivity coefficients provide a measure of the degree of influence each factor had on the total measurement error. The results show that the sensitivity coefficients of lens distortion and the image noise are 0.287 and 0.243, respectively, which are significantly higher than the other error factors. This means that these two error factors need to be emphatically suppressed during the measurement process.

Citation Download Citation

Dingfei Jin and Yue Yang "Sensitivity analysis of the error factors in the binocular vision measurement system," Optical Engineering 57(10), 104109 (20 October 2018). https://doi.org/10.1117/1.OE.57.10.104109

Received: 29 April 2018; Accepted: 2 October 2018; Published: 20 October 2018

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

Includes PDF, HTML & Video, when available