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Developed Algorithm for Making Up Convex Hull Based on Binary Tree

机译:基于二叉树的凸包构造算法

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In computer vision, convex hulls are used for pattern recognition and other image analysis using special points. This paper suggests the developed algorithm for making up a convex hull based on a binary tree. The main idea of the algorithm, proposed in this paper, is very similar to the underlying principle incremental algorithm. The new algorithm quite quickly exceeds the running time of the Graham algorithm with a large number of points in the convex hull. This is due to the best complexity of the algorithm. The Graham's algorithm has O(nlogn) complexity when the new algorithm has O(nlogh) average complexity.
机译:在计算机视觉中,凸包用于特殊识别的模式识别和其他图像分析。本文提出了一种基于二叉树的凸包构造算法。本文提出的算法的主要思想与基本原理增量算法非常相似。新算法很快就超过了Graham算法的运行时间,凸包中有很多点。这是由于算法的最佳复杂性。当新算法具有O(nlogh)平均复杂度时,Graham算法具有O(nlogn)复杂度。

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