基于改进粒子群算法的相机标定优化

amera calibration accuracy directly determines the accuracy of 3D reconstruction,traditional optimization algorithms are easy to trap in local optimum and have poor back projection error .The paper applies the improve particle swarm optimization algorithm to camera calibration in order to promote the accuracy of camera calibration . The method first uses the traditional linear method to get the initial value , and get the solution space according to the initial value.In order to avoid plunging in the local minimum ,start chaotic researching in the solution space,and replace some low-fitness particles so as to make the whole population jump out of the local minima . Experiments show that the camera calibration method based on improve particle algorithm gets good accuracy and have low back-projection error ,so it is a reliable method.