Camera calibration optimization technique based on genetic algorithms

Changying Liu, Yanmei Jia, Wen

Abstract

Vision measurement technology is technology that gets information about measured object being imagined. Therefore, measurement accuracy is directly related to camera parameter calibration accuracy. As for the camera parameter calibration problem, this paper proposes a camera parameter calibration method based on genetic optimization algorithm. A more comprehensive camera imaging model can be built through the ideal pinhole model radial distortion, tangential distortion and distortion correction affine and non-orthogonal; A more comprehensive camera imaging model can be built through the ideal pinhole model radial distortion, tangential distortion and distortion correction affine and non-orthogonal; Using high-precision coordinate measuring machine and the luminous intensity adjustable infrared diode component to build a virtual three-dimensional calibration template provides high-precision calibration space calibration point of calibration . We can derivate reversely calibrated control points by calibration parameter to obtain regularized stereo calibration error 1.082 and Standard deviation of the thrust reverser 0.016. So the calibration method proposed in this paper is feasible and has good calibration accuracy.