| 大规模散乱点云数据的曲率估算及计算机实现 |
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| 引用本文： | 王伟,唐民丽,吴恒玉.大规模散乱点云数据的曲率估算及计算机实现[J].苏州市职业大学学报,2011,22(3):28-30,49. |
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| 作者姓名： | 王伟 唐民丽 吴恒玉 |
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| 作者单位： | 海南软件职业技术学院电子工程系,海南琼海,571400 |
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| 基金项目： | 海南省自然科学基金资助项目 |
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| 摘 要： | 提出一种基于Matlab的大规模散乱点云数据的曲率估算的计算机实现方法.根据规模点云数据分布的特点,对散乱点云数据进行区域划分;对每个区域内的点云数据,用二次参数曲面逼近空间邻近点集,计算各点法矢,对不协调的法矢方向进行调整,计算各点曲率.实验表明,这种方法简化了散乱点云数据的曲率的计算量,从而在普通计算机上能实现大规模散乱点云数据的求解.
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| 关 键 词： | 大规模散乱点云 区域划分 曲率估算 计算机实现 |
Curvature Estimation of Cloud Data with Mass Scattered Points and its Computer Implementation |
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| WANG Wei,TANG Min-li,WU Heng-yu.Curvature Estimation of Cloud Data with Mass Scattered Points and its Computer Implementation[J].Journal of Suzhou Vocational University,2011,22(3):28-30,49. |
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| Authors: | WANG Wei TANG Min-li WU Heng-yu |
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| Institution: | WANG Wei,TANG Min-li,WU Heng-yu (Department of Electronic Engineering,Hainan College of Software Technology,Qionghai 571400,China) |
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| Abstract: | The paper proposes a computer implementation of curvature estimation of cloud data with mass scattered points based on Matlab language.According to the features of cloud data distribution,cloud data with scattered points is divided into different areas.Adjacent points are approached by parametric quadric surface to calculate the normal vector of each point.Inconsistent normal vector is adjusted and the curvature of each point is calculated.Experiments show the method reduces the calculation of curvature of cloud data with scattered points.As a result,it can be realized on ordinary computers. |
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| Keywords: | cloud data with mass scattered points division of areas curvature estimation computer implementation |
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