程序包 cn.jimmiez.pcu.alg.projector

The point cloud projector take a point cloud that can have noise and varying point density and another points set as the input, then produce a new points set which are uniformly distributed on original point cloud surface.

请参阅: 说明

类概要

类	说明
LocallyOptimalProjector	The iterative implementation of Locally Optimal Projector which can be used to re-sample point cloud, see paper: Lipman, Y., Cohen-Or, D., Levin, D., & Tal-Ezer, H. (2007).
WeightedLocallyOptimalProjector	The iterative implementation of Weighted Locally Optimal Projector, see paper: {@literal Huang, H., Li, D., Zhang, H., Ascher, U., & Cohen-Or, D. (2009).

程序包cn.jimmiez.pcu.alg.projector的说明

The point cloud projector take a point cloud that can have noise and varying point density and another points set as the input, then produce a new points set which are uniformly distributed on original point cloud surface. The point cloud projector can be applied in point-cloud-based reconstruction.