关键词: 遗传算法, 神经网络, 摄像机标定, 单目摄像机

Abstract: The camera calibration is one of most important research fields in computer vision.In order to solve the questions of imprecision，structing complex model，non-robustness in the camera calibration.In the paper，a algorithm of camera calibration based on BP neural network and genetic algorithm is proposed according as characteristic of neural network，genetic algorithm and camera calibration.The algorithm makes full use of global numerical optimization characteristic in genetic algorithm and easily converging to local minimum in neural network.On the one hand，it does not need to build the complex camera imaging model，on the other hand，it is improving the precision and robustness in the camera calibration.The experiment results show the method is effective.

Key words: genetic algorithm, neural network, camera calibration, monocular vision