#include <SurfaceTriangulation.h>

Public Member Functions
void	perform (const std::vector< Base::Vector3f > &normals)
	Pass the normals to the points given in the constructor. More...

void	perform (int ksearch=5)
	Set the number of k nearest neighbors to use for the normal estimation. More...

	PoissonReconstruction (const Points::PointKernel &, Mesh::MeshObject &)

void	setDepth (int depth)
	Set the maximum depth of the tree that will be used for surface reconstruction. More...

void	setSamplesPerNode (float samplesPerNode)
	Set the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density. More...

void	setSolverDivide (int solverDivide)
	Set the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation. More...

Constructor & Destructor Documentation

◆ PoissonReconstruction()

Reen::PoissonReconstruction::PoissonReconstruction	(	const Points::PointKernel &	,
		Mesh::MeshObject &
	)

void Reen::PoissonReconstruction::perform ( const std::vector< Base::Vector3f > & normals )

Pass the normals to the points given in the constructor.

Parameters

[in] normals the normals to the given points.

void Reen::PoissonReconstruction::perform ( int ksearch = 5 )

Set the number of k nearest neighbors to use for the normal estimation.

Parameters

[in] k the number of k-nearest neighbors

void Reen::PoissonReconstruction::setDepth ( int depth )

Set the maximum depth of the tree that will be used for surface reconstruction.

Note: Running at depth d corresponds to solving on a voxel grid whose resolution is no larger than 2^d x 2^d x 2^d. Note that since the reconstructor adapts the octree to the sampling density, the specified reconstruction depth is only an upper bound.

Parameters

[in] depth the depth parameter

void Reen::PoissonReconstruction::setSamplesPerNode ( float samplesPerNode )

Set the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density.

Note: For noise-free samples, small values in the range [1.0 - 5.0] can be used. For more noisy samples, larger values in the range [15.0 - 20.0] may be needed to provide a smoother, noise-reduced, reconstruction.

Parameters

[in] samples_per_node the given parameter value

void Reen::PoissonReconstruction::setSolverDivide ( int solverDivide )

Set the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation.

Note: Using this parameter helps reduce the memory overhead at the cost of a small increase in reconstruction time. (In practice, we have found that for reconstructions of depth 9 or higher a subdivide depth of 7 or 8 can greatly reduce the memory usage.)

Parameters

[in] solver_divide the given parameter value

The documentation for this class was generated from the following file: