A method based on quantum-behaved particle swarm algorithm is proposed to optimize camera parameters. The intrinsic and extrinsic parameters of the camera are quickly obtained by the self-calibration program in MATLAB software, and the camera parameters are optimized by using the quantum-behaved particle swarm optimization algorithm. The experimental results show that the optimization algorithm can converge quickly and with high precision, and it can improve the camera calibration accuracy to some extent.