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A Visibility Matrix for Diffusive Optical Tomography - algorithm comparison with regular and octree space subdivision

机译:衍射光学断层扫描的可见性矩阵与常规和八角空间细分的算法比较

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An efficiency analysis of the Visibility Matrix determination algorithm will be introduced in this paper. Algorithm is compared with reference to two space subdivision schemes. The space that encloses considered objects is partitioned into regular or octree grid. The Visibility Matrix defines whether nodes of given objects see each other. It is a result of detection process whether along straight line between selected two nodes there is no concealing them elements. Further sections describe in details space subdivision schemes, summary of the Visibility Matrix algorithm and results for given objects (two spheres).
机译:本文将介绍可见性矩阵确定算法的效率分析。将算法与参考两个空间细分方案进行比较。封闭被视为对象的空间被划分为常规或八角网格。可见性矩阵定义了给定对象的节点是否彼此看到。它是检测过程的结果,无论是在所选择的两个节点之间的直线是否没有隐藏它们元素。进一步的部分描述了细节空间细分方案,可见度矩阵算法的概述和给定对象的结果(两个球体)。

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