Firstly, extract the vertices near the model surface to construct OBB by way of the approximate convex hull algorithm. Secondly, constructing OBB using the extracted vertices set.
基于近似凸包的包围盒构造算法基本思想是根据近似凸包的思想提取出部分模型表面顶点集,然后对提取出的点集构造OBB包围盒。
Through the analysis of SVM principle, convex hull theory is used for supporting vector machines, with acme-set of convex hull replacing the entire sample set for training, and then IRIS data set is used to do the simulation.
通过对以上内容的分析和总结,根据样本凸壳顶点对本类样本分类具有代表性并且数量很少的特性,将凸壳理论应用到支持向量分类机中,提出利用凸壳顶点集代替整个样本集来训练,从而达到减少存储空间,同时提高学习速度的目的。
Convex bodies are the research objects in the paper. The paper is concerned with two aspects:A necessary and sufficient condition for convex hull of a set in E2 being closed; Convex body and its contain measure.
本论文以凸体为研究对象,主要涉及两个方面的内容:平面凸集的凸包为闭集的充分必要条件;特殊凸体(椭圆)的包含测度。