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机构地区:[1]东北电力大学自动化工程学院,吉林吉林132012 [2]东北电力大学理学院,吉林吉林132012
出 处:《机床与液压》2012年第15期34-37,共4页Machine Tool & Hydraulics
基 金:东北电力大学博士科研启动基金项目(BSJXM-200920)
摘 要:通过合理布置摄像机的安装方位,可进一步提高立体视觉测量系统的测量精度。将遗传算法应用于求解摄像机优化布局的问题,以摄像机安装方位参数为优化变量,并将摄像机优化布局的目标确定为:寻求最佳的摄像机安装方位参数,使空间点目标的三维重构不确定度最小。采用三维重构不确定度两阶估计方法,即同时考虑摄像机标定和空间点目标三维重构过程中的不确定度传递问题。在Matlab环境下,利用GATBX遗传算法工具箱对该方法进行验证。仿真实验结果表明:经过50代遗传迭代后,可得到优化变量的最优解。The accuracy of a stereo-vision based measurement system can be further improved by optimal placement of cameras. Genetic algorithm was used to solve the problem' of optimal placement of the cameras. The position and orientation of the cameras were coded into chromosome, and the objective of the optimization problem was set to minimize the uncertainty of stereo reconstruction. A two-stage method was adopted for uncertainty evaluation of stereo reconstruction, that is, the uncertainty propagations in camera cali- bration and in reconstruction of a 3D point were considered sequentially. The method was verified by use of GATBX genetic algorithm tool box in MATLAB. The simulation results show that the optimal solution can be attained after an iteration of 50 generations.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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