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Analysis of genetic algorithms convergence applied to mensuration problems in computer vision

机译:遗传算法收敛于计算机视觉中的测量问题分析

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Design of multi station sensor configurations implies the optimal planning of camera positions in order to obtain high accurate measurements. In this way visual measurements can be achieved by the well known triangulation process. However, multiple constraints and design considerations must be taken into account by the designer in order to overcome the complexity of the problem. Automation of this process has been achieved through genetic algorithm methodology[1].
机译:多站传感器配置的设计意味着相机位置的最佳规划,以获得高准确的测量。以这种方式,通过众所周知的三角测量过程可以实现视觉测量。然而,设计师必须考虑多个约束和设计考虑,以克服问题的复杂性。通过遗传算法方法实现了该过程的自动化[1]。

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