Open AccessImproved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system
Author(s) -
Jia Zhang,
Jian Yang,
Wei Liu,
Fuji Wang,
Yang Liu,
Lingli Wang,
Chaonan Fan,
Kai Zhao
Publication year - 2015
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.23.015205
Subject(s) - calibration , computer vision , distortion (music) , artificial intelligence , camera resectioning , computer science , compensation (psychology) , binocular vision , camera auto calibration , optics , machine vision , accuracy and precision , physics , psychology , amplifier , computer network , bandwidth (computing) , quantum mechanics , psychoanalysis
High-precision calibration of binocular vision systems plays an important role in accurate dimensional measurements. In this paper, an improved camera calibration method is proposed. First, an accurate intrinsic parameters calibration method based on active vision with perpendicularity compensation is developed. Compared to the previous work, this method eliminates the effect of non-perpendicularity of the camera motion on calibration accuracy. The principal point, scale factors, and distortion factors are calculated independently in this method, thereby allowing the strong coupling of these parameters to be eliminated. Second, an accurate global optimization method with only 5 images is presented. The results of calibration experiments show that the accuracy of the calibration method can reach 99.91%.