Open AccessImproved separated-parameter calibration method for binocular vision measurements with a large field of view
Author(s) -
Yang Zhang,
Wei Liu,
Fuji Wang,
Yongkang Lu,
Wenqi Wang,
Fan Yang,
Jia Zhang
Publication year - 2020
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.379099
Subject(s) - calibration , computer science , optics , field of view , stereoscopy , computer vision , artificial intelligence , binocular vision , camera resectioning , physics , quantum mechanics
Large field-of-view (FOV) calibration is indispensable to ensure the accuracy of vision measurement systems for large aviation components. We propose an improved separated-parameter calibration method for large-FOV binocular vision measurements with a high flexibility and accuracy. Firstly, the camera parameters are separately calibrated according to the sub-area features of image. Subsequently, based on the spatial-calibration accuracy, a stereoscopic calibration object is devised. The mean error of the proposed method is experimentally obtained as 0.13 mm for a FOV of 2.0 m × 1.5 m. Its feasibility and effectiveness for the measurement in the field is validated by workshop calibration.