Camera calibration of stereo vision system based on PSO
Ying Zhang · Computer Engineering and Applications Journal · 2011
Camera calibration is the important part of the stereo vision system study.A camera model with radial distortion is established for the camera calibration,that is a complex nonlinear multi-parameter function optimization problem of the binocular stereo vision system.At the same time,the Particle Swarm Optimization(PSO)algorithm is used to optimize the pa-rameters,and then the genetic algorithm’s result is compared.The experimental results show that the method has high accura-cy,and can meet the requirements of industrial machine vision.