Open AccessOnline stereo vision measurement based on correction of sensor structural parameters
Author(s) -
Bowen Shi,
Zhen Liu,
Guangjun Zhang
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.443198
Subject(s) - calibration , computer science , computer vision , binocular vision , stereopsis , position (finance) , artificial intelligence , machine vision , gradient descent , stereo cameras , optics , artificial neural network , mathematics , physics , statistics , finance , economics
Vibration can easily affect the structure of long baseline binocular vision sensors, resulting in changes in the external parameters of the binocular calibration model and the failure of measurement method. This paper presents an online stereo vision measurement based on correction of sensor structural parameters. The flexible structure model based on calibration model and iterative gradient descent nonlinear optimization model based on 3D redundant information are established. The optimal estimation of external parameters and object position measurement are realized according to multi-information constraints. Experiments show that this method can effectively solve the measurement failure caused by vibration in stereo vision measurement.