A quasi-Monte Carlo method for computing areas of point-sampled surfaces

A novel and efficient quasi-Monte Carlo method for computing the area of a point-sampled surface with associated surface normal for each point is presented. Our method operates directly on the point cloud without any surface reconstruction procedure. Using the Cauchy

• Type: Journal
• Year: 2006
• Where: CAD
• Authors: Yu-Shen Liu, Jun-Hai Yong, Hui Zhang, Dong-Ming Yan, Jia-Guang Sun
• Keywords: CAD 2006, Efficient Quasi-monte Carlo, Point-sampled Surface, Surface Reconstruction Procedure, Theoretical Computer Science