An adaptive variation model for point cloud normal computation
作者: Yang YuQingbiao WuYasir KhanMinhong Chen
作者单位: 1Zhejiang University
2Zhejiang Sci-Tech University
刊名: Neural Computing and Applications, 2015, Vol.26 (6), pp.1451-1460
来源数据库: Springer Nature Journal
DOI: 10.1007/s00521-014-1782-y
关键词: Point cloudNormal estimationNormal orientationVariation modelEigenvalue problem
英文摘要: Abstract(#br)In this paper, we present a self-adapted statistic method to determine the coefficient of previous variation model that computes normal estimation together with orientation. Our coefficients differ from the preceding one by that every point has its own weight. The results show that our algorithm could give a better answer, especially when a single point cloud has folded parts as well as thick parts.
全文获取路径: PDF下载  Springer Nature  (合作)
影响因子:1.168 (2012)

  • variation 变异
  • computation 计算
  • adaptive 适应的
  • point 
  • model 模型
  • cloud 
  • normal 法线