convex hull造句
例句与造句
- Algorithm on the convex hull of a simple polygon
简单多边形凸包的算法 - The algorithm for convex hull set of plane finite point set
平面有限点集最小凸包集的计算方法 - The convex hull of sbgb and subdivision algorithms are also discussed
此外，还讨论了sbgb曲线的包络及细分算法。 - Absolute convex hulls
绝对凸包 - And its convex hull
及其凸包 - It's difficult to find convex hull in a sentence. 用convex hull造句挺难的
- This article researches mostly on how to improve the convex hull algorithm of planar point set
本文的主要内容是对凸包的算法进行改进。 - Instead of constructing a convex hull , we could construct a bounding box around the solid
如果不建立凸壳，我们可以在物体附近建立一个范围框。 - An easy approach is to create a convex hull around an object ' s location at two different times
一条简单的途径就是在2不同的时间在一个物体的地点附近创造凸壳。 - Abstract an improved image recognition and registration algorithm based on convex hull and affine invariant was presented
摘要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。 - In this paper , application of convex hull is proposed to slove the problem of global tool interference avoidance in 5 - axis sculptured surface machining
本文提出了运用凸包法解决在五轴加工中刀具干涉的算法。 - A set of n points in the plane is said to be in strictly convex position , if none of its elements is contained in the convex hull of the others
当。 -点集处于凸位置时则至多确定: ，一2个可形成单位三角形的三元组 - The convex hulls were extracted from the feature points of the reference and test images , and then the affine invariants were calculated
该方法利用从参考图和测试图中得到的特征点提取其凸壳，并计算凸壳的仿射不变特征向量。 - We propose to analyze the spacial conformation of particles by integrating the concepts of the convex hull , hypergraph and depth
摘要本文的主要目的是把空间多面体、超图与深度这三个概念综合起来，作为描述与分析空间质点系形态的基本工具。 - The quantity of convex hull is as less as possible . this algorithm can be applied to non - linear classification , neural classification algorithm ( including bp and rbf ) and 2d image filling for sample points
该算法的实现,可以应用于非线性分类,神经网络分类学习(包括bp , rbf ) ,以及二维图像散乱点的填充。 - The constrained conditions are unproved using the tighter convex hull property of the control points degree elevated or subdivided , so the results of this method are better than those of literature [ 33 ]
最后应用bezier方法的升阶和细分技术获得更紧的控制网格凸包，改进优化模型的约束条件，获得更好的降阶逼近。
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