One-dimensional camera calibration based on PSO algorithm

Abstract

Camera calibration is an essential process in visual measurement. 1D target based camera calibration can great facilitate the operating procedure especially when multiple vision sensors should be calibrated. However, the current one-dimensional calibration algorithm is still imprecision in practice. In this work, the PSO algorithm is employed to improve the precision of one-dimensional camera calibration. Since the swarm intelligence algorithm is initial value sensitive, in this work, a data cluster algorithm is proposed to get a better initial value. To overcome the over optimizing problem accounted in swarm intelligence algorithm, prior knowledge, such as the picture’s size, is employed to make sure the parameters will converge toward the true values.