基于粒子群优化的摄像机标定参数整定方法研究

2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC) Pub Date : 2023-06-25 DOI:10.1109/ITC-CSCC58803.2023.10212796

Kitbodin To.sriwong, Sukritta Paripurana, P. Vanichchanunt

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引用次数: 0

摘要

本文研究了用粒子群算法(PSO)估计相机内禀参数的参数整定方法。典型粒子群的参数包括惯性权重和加速度系数，是整定的重点。需要通过对这些参数的广泛研究来解决它们对粒子群估计误差的影响。本研究的结果说明了它们的影响，以便正确选择这些参数以获得可实现的最佳解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Study of Particle Swarm Optimization Parameter Tuning for Camera Calibration

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.

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来源期刊

2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)

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