一种新的基于邻居查找的三维边界算法

Shin-Nine Yang, T. Lin
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引用次数: 4

摘要

作者提出了一种新的算法来寻找存储在一维数组中的线性八叉树的三维边界。提出了一种简单的方法来检验一个八分区是否为边界八分区。然后,根据节点的位置代码排序,逐个节点进行边界查找。为了提高算法的性能,提出了一种新的高效的邻居查找技术。分析了所提出的邻居查找方法的时间复杂度,证明其平均为O(1)。与现有的边界算法相比,本文算法具有以下优点:(1)不需要对输入数据按照分组因子进行预处理,(2)找到的边界已经是经过排序的边界体素序列,无需再进行排序,(3)平均时间复杂度从O(N log N)提高到O(N),其中N为线性八叉树的节点数。>
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A new 3D-border algorithm by neighbor finding
The authors propose a new algorithm for finding the three-dimensional border of linear octrees stored in a one dimensional array. A simple method is proposed to check whether an octant is a border octant. Then, the border finding procedure can be carried out node by node according to their location code ordering. In order to improve the performance of the algorithm, a new and efficient neighbor finding technique is proposed. The time complexity of the proposed neighbor finding method is analyzed and proved to be O(1) on the average. Compared with the existing border algorithms, the proposed algorithm has the following advantages: (1) no preprocessing is required to arrange the input data according to their grouping factors, (2) the border found is already a sorted sequence of border voxels with no extra sorting required, and (3) the average time complexity is improved from O(N log N) to O(N), where N is the number of nodes in the linear octree.<>
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