空间栅格动态划分的点云精简方法 下载: 903次
傅思勇, 吴禄慎, 陈华伟. 空间栅格动态划分的点云精简方法[J]. 光学学报, 2017, 37(11): 1115007.
Siyong Fu, Lushen Wu, Huawei Chen. Point Cloud Simplification Method Based on Space Grid Dynamic Partitioning[J]. Acta Optica Sinica, 2017, 37(11): 1115007.
[1] 袁小翠, 吴禄慎, 陈华伟. 特征保持点云数据精简[J]. 光学精密工程, 2015, 23(9): 2666-2676.
袁小翠, 吴禄慎, 陈华伟. 特征保持点云数据精简[J]. 光学精密工程, 2015, 23(9): 2666-2676.
[2] 陈璋雯, 达飞鹏. 基于模糊熵迭代的三维点云精简算法[J]. 光学学报, 2013, 33(8): 0815001.
陈璋雯, 达飞鹏. 基于模糊熵迭代的三维点云精简算法[J]. 光学学报, 2013, 33(8): 0815001.
[3] 姚顽强, 郑俊良, 陈鹏, 等. 八叉树索引的三维点云数据压缩算法[J]. 测绘科学, 2016, 41(7): 18-22.
姚顽强, 郑俊良, 陈鹏, 等. 八叉树索引的三维点云数据压缩算法[J]. 测绘科学, 2016, 41(7): 18-22.
Yao Wanqiang, Zheng Junliang, Chen Peng, et al. An octree-based mesh simplification algorithms for 3-dimension cloud data[J]. Science of Surveying and Mapping, 2016, 41(7): 18-22.
[4] Martin RR, Stroud IA, Marshall AD. Data reduction for reverse engineering[C]. Proceedings of the 7th conference on Information Geometers, Limited, 1997: 85- 100.
Martin RR, Stroud IA, Marshall AD. Data reduction for reverse engineering[C]. Proceedings of the 7th conference on Information Geometers, Limited, 1997: 85- 100.
[7] PaulyM, GrossM, Kobbelt LP. Efficient simplification of point-sampled surfaces[C]. Proceedings of the IEEE Conference on Visualization, 2002: 163- 170.
PaulyM, GrossM, Kobbelt LP. Efficient simplification of point-sampled surfaces[C]. Proceedings of the IEEE Conference on Visualization, 2002: 163- 170.
[9] 周煜, 张万兵, 杜发荣, 等. 散乱点云数据的曲率精简算法[J]. 北京理工大学学报, 2010, 30(7): 785-789.
周煜, 张万兵, 杜发荣, 等. 散乱点云数据的曲率精简算法[J]. 北京理工大学学报, 2010, 30(7): 785-789.
Zhou Yu, Zhang Wanbing, Du Farong, et al. Algorithm for reduction of scattered point cloud data based on curvature[J]. Transactions of Beijing Institute of Technology, 2010, 30(7): 785-789.
[10] 张雨禾, 耿国华, 魏潇然, 等. 保留几何特征的散乱点云简化算法[J]. 计算机辅助设计与图形学学报, 2016, 28(9): 1420-1427.
张雨禾, 耿国华, 魏潇然, 等. 保留几何特征的散乱点云简化算法[J]. 计算机辅助设计与图形学学报, 2016, 28(9): 1420-1427.
Zhang Yuhe, Geng Guohua, Wei Xiaoran, et al. Point clouds simplification with geometric feature reservation[J]. Journal of Computer-Aided Design and Computer Graphics, 2016, 28(9): 1420-1427.
[11] 刘迎, 王朝阳, 高楠, 等. 特征提取的点云自适应精简[J]. 光学精密工程, 2017, 25(1): 245-254.
刘迎, 王朝阳, 高楠, 等. 特征提取的点云自适应精简[J]. 光学精密工程, 2017, 25(1): 245-254.
[13] 王丽辉, 袁保宗. 三维散乱点云模型的特征点检测[J]. 信号处理, 2011, 27(6): 932-938.
王丽辉, 袁保宗. 三维散乱点云模型的特征点检测[J]. 信号处理, 2011, 27(6): 932-938.
Wang Lihui, Yuan Baozong. Feature point detection for 3D scattered point cloud model[J]. Sigal Processing, 2011, 27(6): 932-938.
[14] ChenY, YueL. A method for dynamic simplification of massive point cloud[C]. IEEE International Conference on Industrial Technology (ICIT), 2016: 1690- 1693.
ChenY, YueL. A method for dynamic simplification of massive point cloud[C]. IEEE International Conference on Industrial Technology (ICIT), 2016: 1690- 1693.
[15] 朱煜, 康宝生, 李洪安, 等. 32(2): 521-523+544[J]. . 一种改进的点云数据精简方法. 计算机应用, 2012.
朱煜, 康宝生, 李洪安, 等. 32(2): 521-523+544[J]. . 一种改进的点云数据精简方法. 计算机应用, 2012.
ZhuYu, KangBaosheng, LiHongan, et al. Improved algorithm for point cloud data simplification[J]. Journal of Computer Applications, 2012, 32(2): 521-523+544.
ZhuYu, KangBaosheng, LiHongan, et al. Improved algorithm for point cloud data simplification[J]. Journal of Computer Applications, 2012, 32(2): 521-523+544.
[16] Lee PF, Huang CP. The DSO feature based point cloud simplification[C]. IEEE Eighth International Conference on Computer Graphics, Imaging and Visualization, 2011: 1- 6.
Lee PF, Huang CP. The DSO feature based point cloud simplification[C]. IEEE Eighth International Conference on Computer Graphics, Imaging and Visualization, 2011: 1- 6.
[17] SchnabelR, KleinR. Octree-based point-cloud compression[C]. Eurographics/IEEE Vgtc Conference on Point-Based Graphics, 2006: 111- 121.
SchnabelR, KleinR. Octree-based point-cloud compression[C]. Eurographics/IEEE Vgtc Conference on Point-Based Graphics, 2006: 111- 121.
[18] HuangM, YangF, ZhangJ, et al. Point cloud data simplification using movable mesh generation[J]. Metallurgical & Mining Industry, 2015( 9): 230- 237.
HuangM, YangF, ZhangJ, et al. Point cloud data simplification using movable mesh generation[J]. Metallurgical & Mining Industry, 2015( 9): 230- 237.
[19] 朱俊锋, 胡翔云, 张祖勋, 等. 多尺度点云噪声检测的密度分析法[J]. 测绘学报, 2015, 44(3): 282-291.
朱俊锋, 胡翔云, 张祖勋, 等. 多尺度点云噪声检测的密度分析法[J]. 测绘学报, 2015, 44(3): 282-291.
Zhu Junfeng, Hu Xiangyun, Zhang Zuxun, et al. Hierarchical outlier detection for point cloud data using a density analysis method[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 282-291.
[20] 雷玉珍, 李中伟, 钟凯, 等. 基于随机抽样一致算法的误匹配标志点校正方法[J]. 光学学报, 2013, 33(3): 0315002.
雷玉珍, 李中伟, 钟凯, 等. 基于随机抽样一致算法的误匹配标志点校正方法[J]. 光学学报, 2013, 33(3): 0315002.
[21] 陈龙, 蔡勇, 张建生, 等. 基于多判别参数混合方法的散乱点云特征提取[J]. 计算机应用研究, 2017, 34(9): 2867-2870.
陈龙, 蔡勇, 张建生, 等. 基于多判别参数混合方法的散乱点云特征提取[J]. 计算机应用研究, 2017, 34(9): 2867-2870.
Chen Long, Cai Yong, Zhang Jiansheng, et al. Feature point extraction of scattered point cloud based on multiple parameters hybridization method[J]. Application Research of Computers, 2017, 34(9): 2867-2870.
Chen Long, Cai Yong, Zhang Jiansheng, et al. Feature point extraction of scattered point cloud based on multiple parameters hybridization method[J]. Application Research of Computers, 2017, 34(9): 2867-2870.
[23] Shi B Q, Liang J, Liu Q. Adaptive simplification of point cloud using k-means clustering[J]. Computer-Aided Design, 2011, 43(8): 910-922.
Shi B Q, Liang J, Liu Q. Adaptive simplification of point cloud using k-means clustering[J]. Computer-Aided Design, 2011, 43(8): 910-922.
傅思勇, 吴禄慎, 陈华伟. 空间栅格动态划分的点云精简方法[J]. 光学学报, 2017, 37(11): 1115007. Siyong Fu, Lushen Wu, Huawei Chen. Point Cloud Simplification Method Based on Space Grid Dynamic Partitioning[J]. Acta Optica Sinica, 2017, 37(11): 1115007.