| 基于RBF神经网络的点云数据曲面重建快速算法 |
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| 引用本文： | 黄淼,张海朝,普杰信,李超.基于RBF神经网络的点云数据曲面重建快速算法[J].计算机应用,2008,28(2):469-472. |
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| 作者姓名： | 黄淼 张海朝 普杰信 李超 |
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| 作者单位： | 1. 河南科技大学,电子信息工程学院,洛阳,471003
2. 西华师范大学,计算机学院,四川,南充,637002 |
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| 基金项目： | 国家自然科学基金
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河南省杰出青年科学基金
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河南省洛阳市科技攻关项目 |
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| 摘 要： | 在分析现有重构方法局限性的基础上，给出了一种基于神经网络的点云数据重构三维网格形状的快速算法。首先对点云数据进行归一化处理；然后进行特征线提取，并以特征线为基础对曲面进行分割。该方法能直接从神经网络的权值矩阵得到曲线的控制顶点或曲面的控制网格,通过神经网络的权值约束实现曲线段或曲面片之间的连接。实验结果表明，使用该方法能快速获得形状良好的网格曲面。
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| 关 键 词： | 神经网络 径向基函数 曲面重建 点云 |
| 文章编号： | 1001-9081（2008）02-0469-04 |
| 收稿时间： | 2007-08-10 |
| 修稿时间： | 2007-10-20 |
Fast algorithm for surface reconstruction from cloud data based RBF neural network |
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| HUANG Miao,ZHANG Hai-chao,PU Jie-xin,LI Chao.Fast algorithm for surface reconstruction from cloud data based RBF neural network[J].journal of Computer Applications,2008,28(2):469-472. |
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| Authors: | HUANG Miao ZHANG Hai-chao PU Jie-xin LI Chao |
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| Affiliation: | HUANG Miao1,ZHANG Hai-chao1,PU Jie-xin1,LI Chao2(1.Electronic Information Engineering College,Henan University of Science , Technology,Luoyang Henan 471003,China,2.Computer College,China West Normal University,Nanchong Sichuan 637002,China) |
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| Abstract: | On the basis of the analysis of the existing reconstruction methods limitations, a fast neural network based algorithm for 3D surface reconstruction from cloud data was presented. Firstly, a unitary processing for the cloud data was made. And then the contour lines were extracted and the surface based contour lines were segmented. The method can directly from the neural network value matrix get the right curve control points or surface control mesh, and through neural network values restriction achieve the right curve or patch of smooth connection. Experimental results show that this method can quickly obtain good shape Mesh. |
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| Keywords: | Neural Network RBF Surface Reconstruction Cloud Data |
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