期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 69, 期 3, 页码 794-803出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2019.2906974
关键词
Calibration; Cameras; Mathematical model; Optical refraction; Absorption; Nonlinear optics; Optical distortion; Akin triangular; multiobjective optimization; refractive camera model; underwater calibration; underwater measurement
资金
- National Natural Science Foundation of China [61725305, 61633004, 61633020, 61836015]
- Pre-Research Fund of Equipments of China [61403120108]
- Beijing Natural Science Foundation [4161002]
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.
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