基于点云数据的疲劳滚子表面三维重建研究[J]. 徐高鹏;张雄;熊建;廖海伸;杨岩.传感器与微系统,2020(09)

各向异性扩散滤波的三维散乱点云平滑去噪算法[J]. 戴士杰;任永潮;张慧博.计算机辅助设计与图形学学报,2018(10)

基于参数自适应各向异性高斯核的散乱点云保特征去噪[J]. 林洪彬;付德敏;王银腾.计算机集成制造系统,2017(12)

尖锐特征曲面散乱点云法向估计[J]. 袁小翠;吴禄慎;陈华伟.光学精密工程,2016(10)

采用密度k-means和改进双边滤波的点云自适应去噪算法[J]. 郭进;陈小宁;吕峻闽;徐鸿雁.传感器与微系统,2016(07)

散乱点云谷脊特征提取[J]. 张雨禾;耿国华;魏潇然.光学精密工程,2015(01)

基于双目视觉的工件尺寸在机三维测量[J]. 全燕鸣;黎淑梅;麦青群.光学精密工程,2013(04)

群体智能点云光顺去噪算法[J]. 李晋江;张彩明;范辉.计算机集成制造系统,2011(05)

An adaptive normal estimation method for scanned point clouds with sharp features[J]. Yutao Wang;Hsi-Yung Feng;Félix-Étienne Delorme;Serafettin Engin.Computer-Aided Design,2013

Coarse‐to‐Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods[J]. Lei Zhu;Mingqiang Wei;Jinze Yu;Weiming Wang;Jing Qin;Pheng‐Ann Heng.Computer Graphics Forum,2013

Point cloud normal estimation via low-rank subspace clustering[J]. Jie Zhang;Junjie Cao;Xiuping Liu;Jun Wang;Jian Liu;Xiquan Shi.Computers & Graphics,2013

Robust normal estimation for point clouds with sharp features[J]. Bao Li;Ruwen Schnabel;Reinhard Klein;Zhiquan Cheng;Gang Dang;Shiyao Jin.Computers & Graphics,2010

Scatter Point Cloud Denoising Based on Self-Adaptive Optimal Neighborhood[J]. Xin He Liang;Jin Liang;Chen Guo.Advanced Materials Research,2010