Point Cloud Library (PCL)
1.7.0
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The Poisson surface reconstruction algorithm. More...
#include <pcl/surface/poisson.h>
Public Types | |
typedef boost::shared_ptr < Poisson< PointNT > > | Ptr |
typedef boost::shared_ptr < const Poisson< PointNT > > | ConstPtr |
typedef pcl::PointCloud < PointNT >::Ptr | PointCloudPtr |
typedef pcl::KdTree< PointNT > | KdTree |
typedef pcl::KdTree< PointNT >::Ptr | KdTreePtr |
Public Member Functions | |
Poisson () | |
Constructor that sets all the parameters to working default values. | |
~Poisson () | |
Destructor. | |
void | performReconstruction (pcl::PolygonMesh &output) |
Create the surface. | |
void | performReconstruction (pcl::PointCloud< PointNT > &points, std::vector< pcl::Vertices > &polygons) |
Create the surface. | |
void | setDepth (int depth) |
Set the maximum depth of the tree that will be used for surface reconstruction. | |
int | getDepth () |
Get the depth parameter. | |
void | setMinDepth (int min_depth) |
int | getMinDepth () |
void | setPointWeight (float point_weight) |
float | getPointWeight () |
void | setScale (float scale) |
Set the ratio between the diameter of the cube used for reconstruction and the diameter of the samples' bounding cube. | |
float | getScale () |
Get the ratio between the diameter of the cube used for reconstruction and the diameter of the samples' bounding cube. | |
void | setSolverDivide (int solver_divide) |
Set the the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation. | |
int | getSolverDivide () |
Get the the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation. | |
void | setIsoDivide (int iso_divide) |
Set the depth at which a block iso-surface extractor should be used to extract the iso-surface. | |
int | getIsoDivide () |
Get the depth at which a block iso-surface extractor should be used to extract the iso-surface. | |
void | setSamplesPerNode (float samples_per_node) |
Set the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density. | |
float | getSamplesPerNode () |
Get the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density. | |
void | setConfidence (bool confidence) |
Set the confidence flag. | |
bool | getConfidence () |
Get the confidence flag. | |
void | setOutputPolygons (bool output_polygons) |
Enabling this flag tells the reconstructor to output a polygon mesh (rather than triangulating the results of Marching Cubes). | |
bool | getOutputPolygons () |
Get whether the algorithm outputs a polygon mesh or a triangle mesh. | |
void | setDegree (int degree) |
Set the degree parameter. | |
int | getDegree () |
Get the degree parameter. | |
void | setManifold (bool manifold) |
Set the manifold flag. | |
bool | getManifold () |
Get the manifold flag. | |
Protected Member Functions | |
std::string | getClassName () const |
Class get name method. |
The Poisson surface reconstruction algorithm.
typedef boost::shared_ptr<const Poisson<PointNT> > pcl::Poisson< PointNT >::ConstPtr |
Reimplemented from pcl::SurfaceReconstruction< PointNT >.
typedef pcl::KdTree<PointNT> pcl::Poisson< PointNT >::KdTree |
Reimplemented from pcl::PCLSurfaceBase< PointNT >.
typedef pcl::KdTree<PointNT>::Ptr pcl::Poisson< PointNT >::KdTreePtr |
Reimplemented from pcl::PCLSurfaceBase< PointNT >.
typedef pcl::PointCloud<PointNT>::Ptr pcl::Poisson< PointNT >::PointCloudPtr |
Reimplemented from pcl::PCLBase< PointNT >.
typedef boost::shared_ptr<Poisson<PointNT> > pcl::Poisson< PointNT >::Ptr |
Reimplemented from pcl::SurfaceReconstruction< PointNT >.
pcl::Poisson< PointNT >::Poisson | ( | ) |
Constructor that sets all the parameters to working default values.
Definition at line 64 of file poisson.hpp.
pcl::Poisson< PointNT >::~Poisson | ( | ) |
Destructor.
Definition at line 89 of file poisson.hpp.
std::string pcl::Poisson< PointNT >::getClassName | ( | ) | const [inline, protected, virtual] |
Class get name method.
Reimplemented from pcl::PCLSurfaceBase< PointNT >.
bool pcl::Poisson< PointNT >::getConfidence | ( | ) | [inline] |
int pcl::Poisson< PointNT >::getDegree | ( | ) | [inline] |
int pcl::Poisson< PointNT >::getDepth | ( | ) | [inline] |
int pcl::Poisson< PointNT >::getIsoDivide | ( | ) | [inline] |
bool pcl::Poisson< PointNT >::getManifold | ( | ) | [inline] |
int pcl::Poisson< PointNT >::getMinDepth | ( | ) | [inline] |
bool pcl::Poisson< PointNT >::getOutputPolygons | ( | ) | [inline] |
float pcl::Poisson< PointNT >::getPointWeight | ( | ) | [inline] |
float pcl::Poisson< PointNT >::getSamplesPerNode | ( | ) | [inline] |
float pcl::Poisson< PointNT >::getScale | ( | ) | [inline] |
int pcl::Poisson< PointNT >::getSolverDivide | ( | ) | [inline] |
void pcl::Poisson< PointNT >::performReconstruction | ( | pcl::PolygonMesh & | output | ) | [virtual] |
Create the surface.
[out] | output | the resultant polygonal mesh |
Implements pcl::SurfaceReconstruction< PointNT >.
Definition at line 152 of file poisson.hpp.
References pcl::PolygonMesh::cloud, pcl::poisson::Point3D< Real >::coords, pcl::poisson::CoredMeshData::inCorePoints, pcl::poisson::CoredVectorMeshData::nextOutOfCorePoint(), pcl::poisson::CoredVectorMeshData::nextPolygon(), pcl::poisson::CoredVectorMeshData::outOfCorePointCount(), pcl::PointCloud< PointT >::points, pcl::poisson::CoredVectorMeshData::polygonCount(), pcl::PolygonMesh::polygons, pcl::toPCLPointCloud2(), and pcl::Vertices::vertices.
void pcl::Poisson< PointNT >::performReconstruction | ( | pcl::PointCloud< PointNT > & | points, |
std::vector< pcl::Vertices > & | polygons | ||
) | [virtual] |
Create the surface.
[out] | points | the vertex positions of the resulting mesh |
[out] | polygons | the connectivity of the resulting mesh |
Implements pcl::SurfaceReconstruction< PointNT >.
Definition at line 232 of file poisson.hpp.
References pcl::poisson::Point3D< Real >::coords, pcl::poisson::CoredMeshData::inCorePoints, pcl::poisson::CoredVectorMeshData::nextOutOfCorePoint(), pcl::poisson::CoredVectorMeshData::nextPolygon(), pcl::poisson::CoredVectorMeshData::outOfCorePointCount(), pcl::PointCloud< PointT >::points, pcl::poisson::CoredVectorMeshData::polygonCount(), and pcl::Vertices::vertices.
void pcl::Poisson< PointNT >::setConfidence | ( | bool | confidence | ) | [inline] |
Set the confidence flag.
[in] | confidence | the given flag |
void pcl::Poisson< PointNT >::setDegree | ( | int | degree | ) | [inline] |
void pcl::Poisson< PointNT >::setDepth | ( | int | depth | ) | [inline] |
Set the maximum depth of the tree that will be used for surface reconstruction.
[in] | depth | the depth parameter |
void pcl::Poisson< PointNT >::setIsoDivide | ( | int | iso_divide | ) | [inline] |
Set the depth at which a block iso-surface extractor should be used to extract the iso-surface.
[in] | iso_divide | the given parameter value |
void pcl::Poisson< PointNT >::setManifold | ( | bool | manifold | ) | [inline] |
void pcl::Poisson< PointNT >::setMinDepth | ( | int | min_depth | ) | [inline] |
void pcl::Poisson< PointNT >::setOutputPolygons | ( | bool | output_polygons | ) | [inline] |
void pcl::Poisson< PointNT >::setPointWeight | ( | float | point_weight | ) | [inline] |
void pcl::Poisson< PointNT >::setSamplesPerNode | ( | float | samples_per_node | ) | [inline] |
Set the minimum number of sample points that should fall within an octree node as the octree construction is adapted to sampling density.
[in] | samples_per_node | the given parameter value |
void pcl::Poisson< PointNT >::setScale | ( | float | scale | ) | [inline] |
void pcl::Poisson< PointNT >::setSolverDivide | ( | int | solver_divide | ) | [inline] |
Set the the depth at which a block Gauss-Seidel solver is used to solve the Laplacian equation.
[in] | solver_divide | the given parameter value |