PoissonReconstruction: Poisson surface reconstruction

In stla/SurfaceReconstruction: Surface Reconstruction Using the 'CGAL' C++ Library

Poisson surface reconstruction

Description

Poisson reconstruction of a surface, from a cloud of 3D points.

Usage

PoissonReconstruction(
  points,
  normals = NULL,
  spacing = NULL,
  sm_angle = 20,
  sm_radius = 30,
  sm_distance = 0.375
)

Arguments

points	numeric matrix which stores the points, one point per row
normals	numeric matrix which stores the normals, one normal per row (it must have the same size as the points matrix); if you don't have normals, set normals=NULL (the default) and some normals will be computed with the help of vcgUpdateNormals, or use the getSomeNormals function
spacing	size parameter; smaller values increase the precision of the output mesh at the cost of higher computation time; set to NULL (the default) for a reasonable automatic value: an average spacing whose value will be displayed in a message and that you can also get in the "spacing" attribute of the output
sm_angle	bound for the minimum facet angle in degrees
sm_radius	relative bound for the radius of the surface Delaunay balls
sm_distance	relative bound for the center-center distances

Details

See Poisson Surface Reconstruction.

Value

A triangle mesh, of class mesh3d (ready for plotting with rgl).

Examples

library(SurfaceReconstruction)
library(rgl)

# Solid Möbius strip 
Psr_mesh <- PoissonReconstruction(SolidMobiusStrip)
shade3d(Psr_mesh, color= "yellow")
wire3d(Psr_mesh, color = "black")

# Hopf torus
Psr_mesh <- PoissonReconstruction(HopfTorus, spacing = 0.2)
shade3d(Psr_mesh, color= "darkorange")
wire3d(Psr_mesh, color = "black")

stla/SurfaceReconstruction documentation built on July 23, 2022, 12:06 p.m.