Convex Hull

An improved image recognition and registration algorithm based on convex hull and affine invariant was presented.

提出了一种新的基于凸壳和仿射不变量的图像识别和配准的方法.

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In practice, ROC Convex Hull ( ROCCH ) method which combines techniques from computational geometry is used.

在实际应用中, 基于样本数据集,通过计算几何的方式得到ROC凸包曲线 ( ROCCH ) .

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Wang Zi Qiang et al presented a new algorithm for computing the convex hull of a planar point set in 1998, and claimed that the worst case time complexity of the algorithm is O ( n), which can lead to a linear time algorithm for sorting.

王志强等于1998年提出了一个计算平面点集凸包的新算法，并且声称该算法的最坏时间复杂度为O（n），从而为线性时间排序提供了可能性。

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Classic convex hull algorithm. JAVA language. Absolutely correct.

经典的凸包算法. JAVA语言编写. 绝对正确.

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Presents an algorithm for determining the convex hull of a finite set of points in a plane. The algorithm requires O ( n) multi-plications and O ( nlogn) comparisons.

提出了一种求平面有限点集凸壳顶点的算法，并分析出该算法的时间复杂性是线性次乘法和O（nlogn）次两个数的比较。

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That is multi-direction extreme value approximate convex hull algorithm, and is called MDEV for short.

提出并实现了平面点集凸壳的一种新的近似算法 —— 多方向极值法.

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Relying on the theorem of Graham, the sample points are realized the minimal convex hull which computational complexity is O ( NlogN).

根据凸包生成算法原理，用Graham算法实现散乱样本的最小凸包，算法复杂度为O（NlogN）。

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Being a basic structure of computational geometry, convex hull is important to data analysis of GIS.

凸壳作为计算几何的一种基本的结构,对GIS的数据分析有着重要作用.

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At the same time it has the local controllability inherited from convex hull.

同时,它天然继承凸壳的局部性特点.

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They are as follow, an optimal algorithm for determining the convex hull of a finite planar point set, an algorithm for triangulation of planar point-set in O ( nlogn) time, the fast algorithm for Delaunay triangulation of simple polygon based on maximum triangle weights.

它们分别是求平面点集凸壳的格雷厄姆方法的一个改进算法，一种时间复杂度为O（nlogn）的平面点集三角剖分算法和简单多边形快速Delaunay三角剖分算法。

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