Camera internal parameter calibration method based on adaptive mutation longicorn swarm optimization algorithm

Abstract

The invention discloses a camera internal reference calibration method based on an adaptive mutation longicorn swarm optimization algorithm, and the method comprises: enabling a prefabricated calibration template to be placed in a field of view of a to-be-calibrated camera, and collecting a calibration template image; extracting feature points in the calibration template graph, and solving a homography matrix, a camera internal parameter matrix, a camera external parameter matrix and lens distortion parameters; and calibrating camera internal parameters by using an adaptive mutation longicornswarm optimization algorithm, wherein the camera internal parameters comprise a camera internal parameter matrix and lens distortion parameters. The adaptive mutation longicorn swarm optimization algorithm designed by the invention is simple in algorithm flow, small in operand, higher in convergence speed, relatively high in global optimization capability, capable of reducing premature convergenceand jumping out of local extremum, high in calculation result precision and particularly suitable for high-dimensional complex optimization. The camera internal reference calibration method is high in precision and convergence, and the optimal solution of the camera internal reference can be rapidly and accurately obtained in real time.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a method for calibrating internal camera references based on an adaptive variation-based beetle herd optimization algorithm. Background technique [0002] In machine vision measurement, in order to determine the relationship between the three-dimensional coordinates of points on the object surface and the pixel points of the object image, it is necessary to establish a camera imaging geometric model, and the process of solving the geometric model parameters is called camera calibration. Camera calibration is a very critical link. Camera calibration is one of the key technologies for pose estimation, 3D reconstruction, visual navigation and positioning, etc. The calibration accuracy and algorithm stability will directly affect the accuracy of measurement results. [0003] For the calibration of camera parameters, domestic and foreign scholars have conducted extensive resear...

AI Technical Summary

Problems solved by technology

[0005] (1) The existing camera calibration algorithm has a complex process, slow convergence speed in the later stage, and easily falls into local optimum;

[0006] (2) The existing camera calibration algorithm has a large amount of calculation and a complex model

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