Study of Particle Swarm Optimization Parameter Tuning for Camera Calibration

Abstract

This paper aims to study Particle Swarm Optimization (PSO) parameter tuning for estimating intrinsic camera parameters. The parameters of typical PSO, on which tuning is mainly focused, include inertia weight and acceleration coefficients. These parameters need to be addressed to how they highly affect the estimation error of PSO by extensively exploring them. The results of this study illustrate their effects so that the proper selection of these parameters can be performed to obtain the achievable best solution.