Acta Optica Sinica, Volume. 37, Issue 11, 1115007(2017)
Point Cloud Simplification Method Based on Space Grid Dynamic Partitioning
[1] Yuan Xiaocui, Wu Lushen, Chen Huawei. Feature preserving point cloud simplification[J]. Optics and Precision Engineering, 23, 2666-2676(2015).
[2] Chen Zhangwen, Da Feipeng. 3D point cloud simplification algorithm based on fuzzy entropy iteration[J]. Acta Optica Sinica, 33, 0815001(2013).
[3] 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, 41, 18-22(2016).
[4] Martin R R, Stroud I A, Marshall A D. Data reduction for reverse engineering[C]. Proceedings of the 7th conference on Information Geometers, Limited, 85-100(1997).
[7] Pauly M, Gross M, Kobbelt L P. Efficient simplification of point-sampled surfaces[C]. Proceedings of the IEEE Conference on Visualization, 163-170(2002).
[9] 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, 30, 785-789(2010).
[10] Zhang Yuhe, Geng Guohua, Wei Xiaoran et al. Point clouds simplification with geometric feature reservation[J]. Journal of Computer-Aided Design and Computer Graphics, 28, 1420-1427(2016).
[11] Liu Ying, Wang Chaoyang, Gao Nan et al. Point cloud adaptive simplification of feature extraction[J]. Optics and Precision Engineering, 25, 245-254(2017).
[13] Wang Lihui, Yuan Baozong. Feature point detection for 3D scattered point cloud model[J]. Sigal Processing, 27, 932-938(2011).
[14] Chen Y, Yue L. A method for dynamic simplification of massive point cloud[C]. IEEE International Conference on Industrial Technology (ICIT), 1690-1693(2016).
[15] Zhu Yu, Kang Baosheng, Li Honganet al. Improved algorithm for point cloud data simplification[J]. 32(2): 521-523+544(2012).
[16] Lee P F, Huang C P. The DSO feature based point cloud simplification[C]. IEEE Eighth International Conference on Computer Graphics, Imaging and Visualization, 1-6(2011).
[17] Schnabel R, Klein R. Octree-based point-cloud compression[C]. Eurographics/IEEE Vgtc Conference on Point-Based Graphics, 111-121(2006).
[18] Huang M, Yang F, Zhang J et al[J]. Point cloud data simplification using movable mesh generation Metallurgical & Mining Industry, 2015, 230-237.
[19] 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, 44, 282-291(2015).
[20] Lei Yuzhen, Li Zhongwei, Zhong Kai et al. Mismatching marked points correction method based on random sample consensus algorithm[J]. Acta Optica Sinica, 33, 0315002(2013).
[21] 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, 34, 2867-2870(2017).
[23] Shi B Q, Liang J, Liu Q. Adaptive simplification of point cloud using k-means clustering[J]. Computer-Aided Design, 43, 910-922(2011).
Get Citation
Copy Citation Text
Siyong Fu, Lushen Wu, Huawei Chen. Point Cloud Simplification Method Based on Space Grid Dynamic Partitioning[J]. Acta Optica Sinica, 2017, 37(11): 1115007
Category: Machine Vision
Received: Jun. 9, 2017
Accepted: --
Published Online: Sep. 7, 2018
The Author Email: Fu Siyong (fusiyong58@163.com)