Camera self-calibration method based on hybrid optimization algorithm
混合优化算法的摄像机自标定方法研究

This paper presented a new camera self-calibration method by combining an improved genetic algorithm (GA) with Levenberg-Marquardt (LM) algorithm. Firstly, translated the simplified Kruppa equation defined by Hartley into the optimized cost function. Secondly, calculated the minimum value of the optimized cost function by a hybrid optimization algorithm which combined the improved GA with LM algorithm. Finally, obtained the intrinsic parameters of the camera. The experimental results show that the accuracy of the proposed method is obviously improved compared with single optimization methods.