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Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm

机译:使用遗传算法从2D X射线图像中找到3D表面重建的最佳视图集

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In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.
机译:在3D重建中,重建的效率和准确性取决于重建的表面点或界标点的分布。本文提出了一种使用多细胞遗传算法的新方法,该方法可以确定一组任意选择的投影角度,这些投影角度大致可提供重构曲面点的最佳分布。这是为了最大限度地利用少量2D X射线来重建曲面,并允许通过使用最少数量的视图来重建所有重要特征。已经进行了一些概念验证实验,以证明所提出方法的能力。

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