Point Cloud Library (PCL)
1.11.0
|
42 #include <pcl/filters/boost.h>
43 #include <pcl/filters/filter.h>
58 Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt);
76 const std::string &distance_field_name,
float min_distance,
float max_distance,
77 Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt,
bool limit_negative =
false);
83 inline Eigen::MatrixXi
86 Eigen::MatrixXi relative_coordinates (3, 13);
90 for (
int i = -1; i < 2; i++)
92 for (
int j = -1; j < 2; j++)
94 relative_coordinates (0, idx) = i;
95 relative_coordinates (1, idx) = j;
96 relative_coordinates (2, idx) = -1;
101 for (
int i = -1; i < 2; i++)
103 relative_coordinates (0, idx) = i;
104 relative_coordinates (1, idx) = -1;
105 relative_coordinates (2, idx) = 0;
109 relative_coordinates (0, idx) = -1;
110 relative_coordinates (1, idx) = 0;
111 relative_coordinates (2, idx) = 0;
113 return (relative_coordinates);
120 inline Eigen::MatrixXi
124 Eigen::MatrixXi relative_coordinates_all( 3, 26);
125 relative_coordinates_all.block<3, 13> (0, 0) = relative_coordinates;
126 relative_coordinates_all.block<3, 13> (0, 13) = -relative_coordinates;
127 return (relative_coordinates_all);
141 template <
typename Po
intT>
void
143 const std::string &distance_field_name,
float min_distance,
float max_distance,
144 Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt,
bool limit_negative =
false);
158 template <
typename Po
intT>
void
160 const std::vector<int> &indices,
161 const std::string &distance_field_name,
float min_distance,
float max_distance,
162 Eigen::Vector4f &min_pt, Eigen::Vector4f &max_pt,
bool limit_negative =
false);
176 template <
typename Po
intT>
191 using Ptr = shared_ptr<VoxelGrid<PointT> >;
192 using ConstPtr = shared_ptr<const VoxelGrid<PointT> >;
249 inline Eigen::Vector3f
288 inline Eigen::Vector3i
294 inline Eigen::Vector3i
300 inline Eigen::Vector3i
306 inline Eigen::Vector3i
331 inline std::vector<int>
334 Eigen::Vector4i ijk (
static_cast<int> (std::floor (reference_point.x *
inverse_leaf_size_[0])),
337 Eigen::Array4i diff2min =
min_b_ - ijk;
338 Eigen::Array4i diff2max =
max_b_ - ijk;
339 std::vector<int> neighbors (relative_coordinates.cols());
340 for (Eigen::Index ni = 0; ni < relative_coordinates.cols (); ni++)
342 Eigen::Vector4i displacement = (Eigen::Vector4i() << relative_coordinates.col(ni), 0).finished();
344 if ((diff2min <= displacement.array()).all() && (diff2max >= displacement.array()).all())
355 inline std::vector<int>
363 inline Eigen::Vector3i
377 int idx = ((Eigen::Vector4i() << ijk, 0).finished() -
min_b_).dot (
divb_mul_);
378 if (idx < 0 || idx >=
static_cast<int> (
leaf_layout_.size ()))
398 inline std::string
const
522 leaf_size_ (
Eigen::Vector4f::Zero ()),
523 inverse_leaf_size_ (
Eigen::Array4f::Zero ()),
524 downsample_all_data_ (true),
525 save_leaf_layout_ (false),
526 min_b_ (
Eigen::Vector4i::Zero ()),
527 max_b_ (
Eigen::Vector4i::Zero ()),
528 div_b_ (
Eigen::Vector4i::Zero ()),
529 divb_mul_ (
Eigen::Vector4i::Zero ()),
530 filter_field_name_ (
""),
531 filter_limit_min_ (-FLT_MAX),
532 filter_limit_max_ (FLT_MAX),
533 filter_limit_negative_ (false),
534 min_points_per_voxel_ (0)
536 filter_name_ =
"VoxelGrid";
550 leaf_size_ = leaf_size;
552 if (leaf_size_[3] == 0)
555 inverse_leaf_size_ = Eigen::Array4f::Ones () / leaf_size_.array ();
566 leaf_size_[0] = lx; leaf_size_[1] = ly; leaf_size_[2] = lz;
568 if (leaf_size_[3] == 0)
571 inverse_leaf_size_ = Eigen::Array4f::Ones () / leaf_size_.array ();
575 inline Eigen::Vector3f
614 inline Eigen::Vector3i
620 inline Eigen::Vector3i
626 inline Eigen::Vector3i
632 inline Eigen::Vector3i
645 return (leaf_layout_.at ((Eigen::Vector4i (
static_cast<int> (std::floor (x * inverse_leaf_size_[0])),
646 static_cast<int> (std::floor (y * inverse_leaf_size_[1])),
647 static_cast<int> (std::floor (z * inverse_leaf_size_[2])),
649 - min_b_).dot (divb_mul_)));
660 inline std::vector<int>
663 Eigen::Vector4i ijk (
static_cast<int> (std::floor (x * inverse_leaf_size_[0])),
664 static_cast<int> (std::floor (y * inverse_leaf_size_[1])),
665 static_cast<int> (std::floor (z * inverse_leaf_size_[2])), 0);
666 Eigen::Array4i diff2min = min_b_ - ijk;
667 Eigen::Array4i diff2max = max_b_ - ijk;
668 std::vector<int> neighbors (relative_coordinates.cols());
669 for (Eigen::Index ni = 0; ni < relative_coordinates.cols (); ni++)
671 Eigen::Vector4i displacement = (Eigen::Vector4i() << relative_coordinates.col(ni), 0).finished();
673 if ((diff2min <= displacement.array()).all() && (diff2max >= displacement.array()).all())
674 neighbors[ni] = leaf_layout_[((ijk + displacement - min_b_).dot (divb_mul_))];
689 inline std::vector<int>
690 getNeighborCentroidIndices (
float x,
float y,
float z,
const std::vector<Eigen::Vector3i, Eigen::aligned_allocator<Eigen::Vector3i> > &relative_coordinates)
const
692 Eigen::Vector4i ijk (
static_cast<int> (std::floor (x * inverse_leaf_size_[0])),
static_cast<int> (std::floor (y * inverse_leaf_size_[1])),
static_cast<int> (std::floor (z * inverse_leaf_size_[2])), 0);
693 std::vector<int> neighbors;
694 neighbors.reserve (relative_coordinates.size ());
695 for (
const auto &relative_coordinate : relative_coordinates)
696 neighbors.push_back (leaf_layout_[(ijk + (Eigen::Vector4i() << relative_coordinate, 0).finished() - min_b_).dot (divb_mul_)]);
703 inline std::vector<int>
711 inline Eigen::Vector3i
714 return (Eigen::Vector3i (
static_cast<int> (std::floor (x * inverse_leaf_size_[0])),
715 static_cast<int> (std::floor (y * inverse_leaf_size_[1])),
716 static_cast<int> (std::floor (z * inverse_leaf_size_[2]))));
725 int idx = ((Eigen::Vector4i() << ijk, 0).finished() - min_b_).dot (divb_mul_);
726 if (idx < 0 || idx >=
static_cast<int> (leaf_layout_.size ()))
732 return (leaf_layout_[idx]);
742 filter_field_name_ = field_name;
746 inline std::string
const
749 return (filter_field_name_);
759 filter_limit_min_ = limit_min;
760 filter_limit_max_ = limit_max;
770 limit_min = filter_limit_min_;
771 limit_max = filter_limit_max_;
781 filter_limit_negative_ = limit_negative;
790 limit_negative = filter_limit_negative_;
799 return (filter_limit_negative_);
825 Eigen::Vector4i
min_b_, max_b_, div_b_, divb_mul_;
850 #ifdef PCL_NO_PRECOMPILE
851 #include <pcl/filters/impl/voxel_grid.hpp>
VoxelGrid assembles a local 3D grid over a given PointCloud, and downsamples + filters the data.
Eigen::Vector3i getMinBoxCoordinates() const
Get the minimum coordinates of the bounding box (after filtering is performed).
Eigen::Vector4f leaf_size_
The size of a leaf.
Eigen::Vector4i min_b_
The minimum and maximum bin coordinates, the number of divisions, and the division multiplier.
std::vector< int > getLeafLayout() const
Returns the layout of the leafs for fast access to cells relative to current position.
std::vector< int > getLeafLayout() const
Returns the layout of the leafs for fast access to cells relative to current position.
int getCentroidIndexAt(const Eigen::Vector3i &ijk) const
Returns the index in the downsampled cloud corresponding to a given set of coordinates.
Eigen::Vector3i getMaxBoxCoordinates() const
Get the minimum coordinates of the bounding box (after filtering is performed).
void setFilterLimitsNegative(const bool limit_negative)
Set to true if we want to return the data outside the interval specified by setFilterLimits (min,...
shared_ptr< Filter< pcl::PointXYZRGBL > > Ptr
bool getDownsampleAllData() const
Get the state of the internal downsampling parameter (true if all fields need to be downsampled,...
typename PointCloud::ConstPtr PointCloudConstPtr
void setDownsampleAllData(bool downsample)
Set to true if all fields need to be downsampled, or false if just XYZ.
void applyFilter(PointCloud &output) override
Downsample a Point Cloud using a voxelized grid approach.
typename PointCloud::Ptr PointCloudPtr
void setSaveLeafLayout(bool save_leaf_layout)
Set to true if leaf layout information needs to be saved for later access.
void setFilterLimitsNegative(const bool limit_negative)
Set to true if we want to return the data outside the interval specified by setFilterLimits (min,...
shared_ptr< ::pcl::PCLPointCloud2 > Ptr
Eigen::Vector3i getDivisionMultiplier() const
Get the multipliers to be applied to the grid coordinates in order to find the centroid index (after ...
Eigen::MatrixXi getHalfNeighborCellIndices()
Get the relative cell indices of the "upper half" 13 neighbors.
VoxelGrid()
Empty constructor.
void setLeafSize(const Eigen::Vector4f &leaf_size)
Set the voxel grid leaf size.
void setFilterLimits(const double &limit_min, const double &limit_max)
Set the field filter limits.
void getFilterLimits(double &limit_min, double &limit_max) const
Get the field filter limits (min/max) set by the user.
Eigen::Vector3i getGridCoordinates(float x, float y, float z) const
Returns the corresponding (i,j,k) coordinates in the grid of point (x,y,z).
void setFilterFieldName(const std::string &field_name)
Provide the name of the field to be used for filtering data.
double filter_limit_max_
The maximum allowed filter value a point will be considered from.
void setFilterLimits(const double &limit_min, const double &limit_max)
Set the field filter limits.
int getCentroidIndexAt(const Eigen::Vector3i &ijk) const
Returns the index in the downsampled cloud corresponding to a given set of coordinates.
bool downsample_all_data_
Set to true if all fields need to be downsampled, or false if just XYZ.
int getCentroidIndex(const PointT &p) const
Returns the index in the resulting downsampled cloud of the specified point.
bool downsample_all_data_
Set to true if all fields need to be downsampled, or false if just XYZ.
Eigen::Vector3i getMinBoxCoordinates() const
Get the minimum coordinates of the bounding box (after filtering is performed).
std::vector< int > leaf_layout_
The leaf layout information for fast access to cells relative to current position.
PCLPointCloud2::ConstPtr PCLPointCloud2ConstPtr
bool filter_limit_negative_
Set to true if we want to return the data outside (filter_limit_min_;filter_limit_max_).
Eigen::Array4f inverse_leaf_size_
Internal leaf sizes stored as 1/leaf_size_ for efficiency reasons.
typename pcl::traits::fieldList< pcl::PointXYZRGBL >::type FieldList
void getFilterLimitsNegative(bool &limit_negative) const
Get whether the data outside the interval (min/max) is to be returned (true) or inside (false).
void getFilterLimitsNegative(bool &limit_negative) const
Get whether the data outside the interval (min/max) is to be returned (true) or inside (false).
A point structure representing Euclidean xyz coordinates, and the RGB color.
void setMinimumPointsNumberPerVoxel(unsigned int min_points_per_voxel)
Set the minimum number of points required for a voxel to be used.
Eigen::MatrixXi getAllNeighborCellIndices()
Get the relative cell indices of all the 26 neighbors.
bool save_leaf_layout_
Set to true if leaf layout information needs to be saved in leaf_layout_.
bool getSaveLeafLayout() const
Returns true if leaf layout information will to be saved for later access.
void getFilterLimits(double &limit_min, double &limit_max) const
Get the field filter limits (min/max) set by the user.
const std::string getFilterFieldName() const
Get the name of the field used for filtering.
PCLPointCloud2::ConstPtr PCLPointCloud2ConstPtr
bool getSaveLeafLayout() const
Returns true if leaf layout information will to be saved for later access.
unsigned int getMinimumPointsNumberPerVoxel() const
Return the minimum number of points required for a voxel to be used.
Eigen::Vector3f getLeafSize() const
Get the voxel grid leaf size.
PCLPointCloud2::Ptr PCLPointCloud2Ptr
Eigen::Vector3i getNrDivisions() const
Get the number of divisions along all 3 axes (after filtering is performed).
unsigned int getMinimumPointsNumberPerVoxel() const
Return the minimum number of points required for a voxel to be used.
double filter_limit_max_
The maximum allowed filter value a point will be considered from.
shared_ptr< const ::pcl::PCLPointCloud2 > ConstPtr
unsigned int min_points_per_voxel_
Minimum number of points per voxel for the centroid to be computed.
void setLeafSize(float lx, float ly, float lz)
Set the voxel grid leaf size.
const std::string getFilterFieldName() const
Get the name of the field used for filtering.
std::string filter_field_name_
The desired user filter field name.
Eigen::Vector3i getGridCoordinates(float x, float y, float z) const
Returns the corresponding (i,j,k) coordinates in the grid of point (x,y,z).
double filter_limit_min_
The minimum allowed filter value a point will be considered from.
Eigen::Vector3i getDivisionMultiplier() const
Get the multipliers to be applied to the grid coordinates in order to find the centroid index (after ...
Eigen::Vector4i min_b_
The minimum and maximum bin coordinates, the number of divisions, and the division multiplier.
Eigen::Vector3i getMaxBoxCoordinates() const
Get the minimum coordinates of the bounding box (after filtering is performed).
shared_ptr< const Filter< pcl::PointXYZRGBL > > ConstPtr
VoxelGrid()
Empty constructor.
bool getFilterLimitsNegative() const
Get whether the data outside the interval (min/max) is to be returned (true) or inside (false).
Filter represents the base filter class.
std::vector< int > getNeighborCentroidIndices(const PointT &reference_point, const Eigen::MatrixXi &relative_coordinates) const
Returns the indices in the resulting downsampled cloud of the points at the specified grid coordinate...
Eigen::Vector4i divb_mul_
bool getFilterLimitsNegative() const
Get whether the data outside the interval (min/max) is to be returned (true) or inside (false).
std::string filter_name_
The filter name.
shared_ptr< PointCloud< PointT > > Ptr
void getMinMax3D(const pcl::PointCloud< PointT > &cloud, PointT &min_pt, PointT &max_pt)
Get the minimum and maximum values on each of the 3 (x-y-z) dimensions in a given pointcloud.
Eigen::Array4f inverse_leaf_size_
Internal leaf sizes stored as 1/leaf_size_ for efficiency reasons.
std::vector< int > leaf_layout_
The leaf layout information for fast access to cells relative to current position.
std::vector< int > getNeighborCentroidIndices(float x, float y, float z, const Eigen::MatrixXi &relative_coordinates) const
Returns the indices in the resulting downsampled cloud of the points at the specified grid coordinate...
Eigen::Vector4f leaf_size_
The size of a leaf.
void setDownsampleAllData(bool downsample)
Set to true if all fields need to be downsampled, or false if just XYZ.
bool save_leaf_layout_
Set to true if leaf layout information needs to be saved in leaf_layout.
bool filter_limit_negative_
Set to true if we want to return the data outside (filter_limit_min_;filter_limit_max_).
shared_ptr< const PointCloud< PointT > > ConstPtr
void setMinimumPointsNumberPerVoxel(unsigned int min_points_per_voxel)
Set the minimum number of points required for a voxel to be used.
void setFilterFieldName(const std::string &field_name)
Provide the name of the field to be used for filtering data.
std::vector< int > getNeighborCentroidIndices(float x, float y, float z, const std::vector< Eigen::Vector3i, Eigen::aligned_allocator< Eigen::Vector3i > > &relative_coordinates) const
Returns the indices in the resulting downsampled cloud of the points at the specified grid coordinate...
void setLeafSize(float lx, float ly, float lz)
Set the voxel grid leaf size.
std::string filter_field_name_
The desired user filter field name.
void setSaveLeafLayout(bool save_leaf_layout)
Set to true if leaf layout information needs to be saved for later access.
Eigen::Vector3i getNrDivisions() const
Get the number of divisions along all 3 axes (after filtering is performed).
bool getDownsampleAllData() const
Get the state of the internal downsampling parameter (true if all fields need to be downsampled,...
void setLeafSize(const Eigen::Vector4f &leaf_size)
Set the voxel grid leaf size.
unsigned int min_points_per_voxel_
Minimum number of points per voxel for the centroid to be computed.
double filter_limit_min_
The minimum allowed filter value a point will be considered from.
int getCentroidIndex(float x, float y, float z) const
Returns the index in the resulting downsampled cloud of the specified point.
Eigen::Vector3f getLeafSize() const
Get the voxel grid leaf size.