中文摘要：

针对非线性成像模型下摄像机参数的标定问题，研究了一种基于改进量子遗传算法的摄像机参数标定方法。该方法通过分析摄像机成像的非线性模型提取了摄像机的标定参数；通过将自适应计算策略引入到量子旋转门旋转角的确定过程中，改善了量子遗传算法的自适应性；描述了利用改进量子遗传算法对摄像机参数进行求解的策略。数值实验结果表明，该方法可以准确有效地实现摄像机参数的标定，具有一定应用价值。

英文摘要：

To solve the camera calibration problem in nonlinear imaging system, an improved quantum genetic algorithm is proposed. Key parameters to be calibrated is extracted from the nonlinear camera model based on analysis camera calibration prob lena. An adaptive strategy is introduced to evaluate quantum ratation angle, which can improve performace of the hybrid algorithm efficiently. The implementation process of camera calibration by improved auantum generatic algorithm is discussed in details. Numerical experiments show accuracy and validity of the method, so it can be applied to practical applications.