Open AccessNon-iterative method for camera calibration
Author(s) -
Yuzhen Hong,
Guanghui Ren,
Enhai Liu
Publication year - 2015
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.023992
Subject(s) - distortion (music) , calibration , homography , nonlinear distortion , iterative method , nonlinear system , computer science , camera resectioning , maxima and minima , iterative and incremental development , algorithm , point (geometry) , computer vision , artificial intelligence , optics , mathematics , physics , geometry , mathematical analysis , computer network , amplifier , statistics , projective test , software engineering , bandwidth (computing) , quantum mechanics , projective space
This paper presents a new and effective technique to calibrate a camera without nonlinear iteration optimization. To this end, the centre-of-distortion is accurately estimated firstly. Based on the radial distortion division model, point correspondences between model plane and its image were used to compute the homography and distortion coefficients afterwards. Once the homographies of calibration images are obtained, the camera intrinsic parameters are solved analytically. All the solution techniques applied in this calibration process are non-iterative that do not need any initial guess, with no risk of local minima. Moreover, estimation of the distortion coefficients and intrinsic parameters could be successfully decoupled, yielding the more stable and reliable result. Both simulative and real experiments have been carried out to show that the proposed method is reliable and effective. Without nonlinear iteration optimization, the proposed method is computationally efficient and can be applied to real-time online calibration.