A sampling method based on curvature analysis of cubic Bezier curve

被引：3
|
作者：
Zhang, Zhiyi [1 ]
Zhang, Xian [2 ]
Zhang, Huayang [1 ]
机构：
[1] Northwest A&F Univ, Coll Informat Engn, 22,XiNong Rd, YangLing 712100, ShannXi, Peoples R China
[2] Technol Thermal Power Yunnan Power Technol Inc, Software Dev Engineer, Kunming 650200, Yunnan, Peoples R China
来源：
JOURNAL OF COMPUTERS | 2014年 / 9卷 / 03期
基金：
国家高技术研究发展计划(863计划);
关键词：
Cubic Bezier curve; Geometric Construction; Curvature Analysis; Cubic B-spline curve; Sampling;
D O I：
10.4304/jcp.9.3.595-600
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In order to eliminate the weakness of large volumes data in 3D modeling process, a fast and efficient sampling method based on curvature analysis of cubic Bezier curve is presented. With the method, the characteristic points and curvature maximum value of cubic Bezier curve are used as the reference standard of the sampling interval and density. For cubic B-spline curves, the sampling data can be obtained by dividing them into some cubic Bezier curves. Some experimental results show that this method is feasible and effective for the sampling of cubic free-form curves.
引用
收藏
页码：595 / 600
页数：6
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