| 保持特征的点云自适应网格重建 |
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| 引用本文： | 钱归平,童若锋,彭 文,董金祥.保持特征的点云自适应网格重建[J].中国图象图形学报,2009,14(1):148-154. |
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| 作者姓名： | 钱归平 童若锋 彭 文 董金祥 |
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| 作者单位： | 浙江大学计算机科学与技术学院，杭州 310027 |
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| 基金项目： | 国家重点基础研究发展计划(973)项目(2006CB303106)；国家科技部科技支撑计划项目(2007BAH11B04)；浙江省科技计划（2007C223050） |
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| 摘 要： | 由于3维扫描点云通常存在噪音和缺失数据，提出了一种鲁棒的点云网格重建算法。对张量矩阵方法估计的点云法向进行增强特征处理，在频域中进行3维快速傅里叶变换，提取粗糙离散等值面。原始点云经梯度方向迭代移动后，过滤噪音和剔除离群点，并修补点云缺失数据。点云被自适应筛选后，利用圆球相交的方法生成新的三角形。实验表明，该算法具有快速、稳定可靠和内存消耗小的优点。
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| 关 键 词： | 逆向工程 傅里叶变换 网格化 降噪 |
| 收稿时间： | 2007/5/29 0:00:00 |
| 修稿时间： | 2007/8/14 0:00:00 |
Adaptive Mesh Reconstruction of Point Cloud with Feature Preserved |
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| QIAN Guiping,TONG Ruofeng,PENG Wen and DONG Jinxiang.Adaptive Mesh Reconstruction of Point Cloud with Feature Preserved[J].Journal of Image and Graphics,2009,14(1):148-154. |
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| Authors: | QIAN Guiping TONG Ruofeng PENG Wen and DONG Jinxiang |
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| Affiliation: | College of Computer Science and Technology, Zhejiang University, Hangzhou 310027 |
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| Abstract: | There is noise and defective data on the 3D scanning point cloud. A robust mesh reconstruction algorithm is proposed. Surface normals are estimated by tensor matrix with enhanced features. By computing 3D fast Fourier transform (FFT), discrete iso-surface is extracted. Points are moved onto the iso-surface by an iterative clustering along gradient field, where the noise and outliers are removed and defective data are repaired. Point cloud is decimated adaptively, and then a new triangle is generated using sphere-intersected method. The experimental results have shown that the algorithm is fast, robust and use low memory. |
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| Keywords: | reverse engineering Fourier transform meshing denoising |
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