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A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System.

A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System.

Authors :
Kong, Shihan
Fang, Xi
Chen, Xingyu
Wu, Zhengxing
Yu, Junzhi
Source :
IEEE Transactions on Instrumentation & Measurement; Mar2020, Vol. 69 Issue 3, p794-803, 10p
Publication Year :
2020

Abstract

In this paper, a nondominated sorting genetic algorithm (NSGA)-II-based calibration algorithm for the underwater binocular vision measurement system is proposed. The underwater measurement results will be incorrect with the binocular camera model in air. To deal with this problem, a refractive camera model and an akin triangulation are proposed to establish the nonlinear relationship with housing parameters between the object and its corresponding image plain points. A novel usage of checkerboard based on the relative position relationship of corners is employed to set three optimal goals, i.e., the distance difference, the vertical direction difference, and the parallel direction difference. The process of calibration is regarded as a multiobjective optimization and solved by NSGA-II. Finally, experimental results demonstrate the validity and effectiveness of the proposed calibration algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189456
Volume :
69
Issue :
3
Database :
Complementary Index
Journal :
IEEE Transactions on Instrumentation & Measurement
Publication Type :
Academic Journal
Accession number :
143313470
Full Text :
https://doi.org/10.1109/TIM.2019.2906974