Point Cloud Library (PCL)
1.14.1-dev
|
Convolution3D handles the non organized case where width and height are unknown or if you are only interested in convolving based on local neighborhood information. More...
#include <pcl/filters/convolution_3d.h>
Public Types | |
using | PointCloudIn = pcl::PointCloud< PointIn > |
using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
using | KdTree = pcl::search::Search< PointIn > |
using | KdTreePtr = typename KdTree::Ptr |
using | PointCloudOut = pcl::PointCloud< PointOut > |
using | Ptr = shared_ptr< Convolution3D< PointIn, PointOut, KernelT > > |
using | ConstPtr = shared_ptr< Convolution3D< PointIn, PointOut, KernelT > > |
Public Types inherited from pcl::PCLBase< PointIn > | |
using | PointCloud = pcl::PointCloud< PointIn > |
using | PointCloudPtr = typename PointCloud::Ptr |
using | PointCloudConstPtr = typename PointCloud::ConstPtr |
using | PointIndicesPtr = PointIndices::Ptr |
using | PointIndicesConstPtr = PointIndices::ConstPtr |
Public Member Functions | |
Convolution3D () | |
Constructor. More... | |
void | setNumberOfThreads (unsigned int nr_threads=0) |
Initialize the scheduler and set the number of threads to use. More... | |
void | setKernel (const KernelT &kernel) |
Set convolving kernel. More... | |
void | setSearchSurface (const PointCloudInConstPtr &cloud) |
Provide a pointer to the input dataset that we need to estimate features at every point for. More... | |
PointCloudInConstPtr | getSearchSurface () |
Get a pointer to the surface point cloud dataset. More... | |
void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. More... | |
KdTreePtr | getSearchMethod () |
Get a pointer to the search method used. More... | |
void | setRadiusSearch (double radius) |
Set the sphere radius that is to be used for determining the nearest neighbors. More... | |
double | getRadiusSearch () |
Get the sphere radius used for determining the neighbors. More... | |
void | convolve (PointCloudOut &output) |
Convolve point cloud. More... | |
Public Member Functions inherited from pcl::PCLBase< PointIn > | |
PCLBase () | |
Empty constructor. More... | |
PCLBase (const PCLBase &base) | |
Copy constructor. More... | |
virtual | ~PCLBase ()=default |
Destructor. More... | |
virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
Provide a pointer to the input dataset. More... | |
PointCloudConstPtr const | getInputCloud () const |
Get a pointer to the input point cloud dataset. More... | |
virtual void | setIndices (const IndicesPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... | |
virtual void | setIndices (const IndicesConstPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... | |
virtual void | setIndices (const PointIndicesConstPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... | |
virtual void | setIndices (std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols) |
Set the indices for the points laying within an interest region of the point cloud. More... | |
IndicesPtr | getIndices () |
Get a pointer to the vector of indices used. More... | |
IndicesConstPtr const | getIndices () const |
Get a pointer to the vector of indices used. More... | |
const PointIn & | operator[] (std::size_t pos) const |
Override PointCloud operator[] to shorten code. More... | |
Protected Member Functions | |
bool | initCompute () |
initialize computation More... | |
Protected Member Functions inherited from pcl::PCLBase< PointIn > | |
bool | initCompute () |
This method should get called before starting the actual computation. More... | |
bool | deinitCompute () |
This method should get called after finishing the actual computation. More... | |
Protected Attributes | |
PointCloudInConstPtr | surface_ |
An input point cloud describing the surface that is to be used for nearest neighbors estimation. More... | |
KdTreePtr | tree_ |
A pointer to the spatial search object. More... | |
double | search_radius_ |
The nearest neighbors search radius for each point. More... | |
unsigned int | threads_ {1} |
number of threads More... | |
KernelT | kernel_ |
convlving kernel More... | |
Protected Attributes inherited from pcl::PCLBase< PointIn > | |
PointCloudConstPtr | input_ |
The input point cloud dataset. More... | |
IndicesPtr | indices_ |
A pointer to the vector of point indices to use. More... | |
bool | use_indices_ |
Set to true if point indices are used. More... | |
bool | fake_indices_ |
If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More... | |
Convolution3D handles the non organized case where width and height are unknown or if you are only interested in convolving based on local neighborhood information.
The convolving kernel MUST be a radial symmetric and implement ConvolvingKernel interface.
Definition at line 196 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::ConstPtr = shared_ptr<Convolution3D<PointIn, PointOut, KernelT> > |
Definition at line 205 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::KdTree = pcl::search::Search<PointIn> |
Definition at line 201 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::KdTreePtr = typename KdTree::Ptr |
Definition at line 202 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::PointCloudIn = pcl::PointCloud<PointIn> |
Definition at line 199 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
Definition at line 200 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::PointCloudOut = pcl::PointCloud<PointOut> |
Definition at line 203 of file convolution_3d.h.
using pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::Ptr = shared_ptr<Convolution3D<PointIn, PointOut, KernelT> > |
Definition at line 204 of file convolution_3d.h.
pcl::filters::Convolution3D< PointInT, PointOutT, KernelT >::Convolution3D |
Constructor.
Definition at line 179 of file convolution_3d.hpp.
void pcl::filters::Convolution3D< PointInT, PointOutT, KernelT >::convolve | ( | PointCloudOut & | output | ) |
Convolve point cloud.
[out] | output | the convolved cloud |
Definition at line 234 of file convolution_3d.hpp.
References pcl::PointCloud< PointT >::height, pcl::PointCloud< PointT >::is_dense, pcl::isFinite(), pcl::PointCloud< PointT >::resize(), and pcl::PointCloud< PointT >::width.
|
inline |
Get the sphere radius used for determining the neighbors.
Definition at line 253 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::search_radius_.
|
inline |
Get a pointer to the search method used.
Definition at line 243 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::tree_.
|
inline |
Get a pointer to the surface point cloud dataset.
Definition at line 233 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::surface_.
|
protected |
initialize computation
Definition at line 188 of file convolution_3d.hpp.
|
inline |
Set convolving kernel.
[in] | kernel | convolving element |
Definition at line 223 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::kernel_.
|
inline |
Initialize the scheduler and set the number of threads to use.
nr_threads | the number of hardware threads to use (0 sets the value back to automatic) |
Definition at line 217 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::threads_.
|
inline |
Set the sphere radius that is to be used for determining the nearest neighbors.
radius | the sphere radius used as the maximum distance to consider a point a neighbor |
Definition at line 249 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::search_radius_.
|
inline |
Provide a pointer to the search object.
tree | a pointer to the spatial search object. |
Definition at line 239 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::tree_.
|
inline |
Provide a pointer to the input dataset that we need to estimate features at every point for.
cloud | the const boost shared pointer to a PointCloud message |
Definition at line 229 of file convolution_3d.h.
References pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::surface_.
|
protected |
convlving kernel
Definition at line 278 of file convolution_3d.h.
Referenced by pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::setKernel().
|
protected |
The nearest neighbors search radius for each point.
Definition at line 272 of file convolution_3d.h.
Referenced by pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::getRadiusSearch(), and pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::setRadiusSearch().
|
protected |
An input point cloud describing the surface that is to be used for nearest neighbors estimation.
Definition at line 266 of file convolution_3d.h.
Referenced by pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::getSearchSurface(), and pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::setSearchSurface().
|
protected |
number of threads
Definition at line 275 of file convolution_3d.h.
Referenced by pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::setNumberOfThreads().
|
protected |
A pointer to the spatial search object.
Definition at line 269 of file convolution_3d.h.
Referenced by pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::getSearchMethod(), and pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::setSearchMethod().