A new method ameliorating the calibration accuracy for flowmeter that is based on BP network - (genetic) algorithms (GA) is proposed.
提出一种基于神经网络(BP) -遗传算法(GA)的高精度流量仪表标定方法。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
After introducing several commonly used camera calibration methods and analyzing their disadvantages, a new camera calibration method based on Genetic Algorithms (GA) is proposed.
在介绍了几种常用的摄像机标定方法，并分析其不足之处以后，提出了一种基于遗传算法的摄像机标定方法。
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