Optimization of camera calibration process based on PSO algorithm

YIN Chunping，CHEN Yifeng，WU Liaoni，LIN Qi

(School of Physics and Mechanical & Electrical Engineering, Xiamen University, Xiamen 361005，China)

Abstract: The camera calibration for machine vision plays an important role in measuring position and pose of objects,it maps the relationship from 3D space objects and 2D image However, it is a difficult nonlinear optimization problem In order to solve the complex optimization problems, particle swarm optimization（PSO） algorithm was put forward to solve the problem as a kind of optimization method The method and the related theory of PSO were described, such as the principle of PSO algorithm, the monocular vision measurement system, the imaging model based on CMOS camera and its principle and algorithm Combined with the PSO algorithm, the  experiment results show that this algorithm is accurate, and it has a strong engineering application value

Key words: particle swarm optimization（PSO） algorithm; camera calibration; machine vision