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typedef Feature< PointInT,
PointOutT >::PointCloudOut | PointCloudOut |
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| typedef pcl::PointCloud< PointNT > | PointCloudN |
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| typedef PointCloudN::Ptr | PointCloudNPtr |
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| typedef PointCloudN::ConstPtr | PointCloudNConstPtr |
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typedef boost::shared_ptr
< FeatureFromNormals< PointInT,
PointNT, PointOutT > > | Ptr |
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typedef boost::shared_ptr
< const FeatureFromNormals
< PointInT, PointNT, PointOutT > > | ConstPtr |
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| typedef PCLBase< PointInT > | BaseClass |
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typedef pcl::search::Search
< PointInT > | KdTree |
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typedef pcl::search::Search
< PointInT >::Ptr | KdTreePtr |
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typedef boost::function< int(size_t,
double, std::vector< int >
&, std::vector< float > &)> | SearchMethod |
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typedef boost::function< int(const
PointCloudIn &cloud, size_t
index, double, std::vector
< int > &, std::vector< float > &)> | SearchMethodSurface |
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| typedef pcl::PointCloud< PointInT > | PointCloud |
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| typedef PointCloud::Ptr | PointCloudPtr |
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| typedef PointCloud::ConstPtr | PointCloudConstPtr |
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| typedef PointIndices::Ptr | PointIndicesPtr |
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| typedef PointIndices::ConstPtr | PointIndicesConstPtr |
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| | BoundaryEstimation () |
| | Empty constructor. More...
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| bool | isBoundaryPoint (const pcl::PointCloud< PointInT > &cloud, int q_idx, const std::vector< int > &indices, const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold) |
| | Check whether a point is a boundary point in a planar patch of projected points given by indices. More...
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| bool | isBoundaryPoint (const pcl::PointCloud< PointInT > &cloud, const PointInT &q_point, const std::vector< int > &indices, const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold) |
| | Check whether a point is a boundary point in a planar patch of projected points given by indices. More...
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| void | setAngleThreshold (float angle) |
| | Set the decision boundary (angle threshold) that marks points as boundary or regular. More...
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| float | getAngleThreshold () |
| | Get the decision boundary (angle threshold) as set by the user. More...
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| void | getCoordinateSystemOnPlane (const PointNT &p_coeff, Eigen::Vector4f &u, Eigen::Vector4f &v) |
| | Get a u-v-n coordinate system that lies on a plane defined by its normal. More...
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| void | setInputNormals (const PointCloudNConstPtr &normals) |
| | Provide a pointer to the input dataset that contains the point normals of the XYZ dataset. More...
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| PointCloudNConstPtr | getInputNormals () const |
| | Get a pointer to the normals of the input XYZ point cloud dataset. More...
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| void | setSearchSurface (const PointCloudInConstPtr &cloud) |
| | Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset. More...
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| PointCloudInConstPtr | getSearchSurface () const |
| | Get a pointer to the surface point cloud dataset. More...
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| void | setSearchMethod (const KdTreePtr &tree) |
| | Provide a pointer to the search object. More...
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| KdTreePtr | getSearchMethod () const |
| | Get a pointer to the search method used. More...
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| double | getSearchParameter () const |
| | Get the internal search parameter. More...
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| void | setKSearch (int k) |
| | Set the number of k nearest neighbors to use for the feature estimation. More...
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| int | getKSearch () const |
| | get the number of k nearest neighbors used for the feature estimation. More...
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| void | setRadiusSearch (double radius) |
| | Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More...
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| double | getRadiusSearch () const |
| | Get the sphere radius used for determining the neighbors. More...
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| void | compute (PointCloudOut &output) |
| | Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More...
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| void | computeEigen (pcl::PointCloud< Eigen::MatrixXf > &output) |
| | Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More...
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| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| | Provide a pointer to the input dataset. More...
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| PointCloudConstPtr const | getInputCloud () |
| | Get a pointer to the input point cloud dataset. More...
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| void | setIndices (const IndicesPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data. More...
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| void | setIndices (const IndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data. More...
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| void | setIndices (const PointIndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data. More...
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| void | setIndices (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols) |
| | Set the indices for the points laying within an interest region of the point cloud. More...
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| IndicesPtr const | getIndices () |
| | Get a pointer to the vector of indices used. More...
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| const PointInT & | operator[] (size_t pos) |
| | Override PointCloud operator[] to shorten code. More...
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template<typename PointInT, typename PointNT, typename PointOutT>
class pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >
BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle criterion.
The code makes use of the estimated surface normals at each point in the input dataset.
Here's an example for estimating boundary points for a PointXYZ point cloud:
- Attention
- The convention for Boundary features is:
- if a query point's nearest neighbors cannot be estimated, the boundary feature will be set to NaN (not a number)
- it is impossible to estimate a boundary property for a point that doesn't have finite 3D coordinates. Therefore, any point that contains NaN data on x, y, or z, will have its boundary feature property set to NaN.
- Author
- Radu B. Rusu
Definition at line 80 of file boundary.h.
template<typename PointInT, typename PointNT, typename PointOutT>
Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.
In case of search surface is set to be different from the input cloud, normals should correspond to the search surface, not the input cloud!
- Parameters
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| [in] | normals | the const boost shared pointer to a PointCloud of normals. By convention, L2 norm of each normal should be 1. |
Definition at line 351 of file feature.h.
template<typename PointInT, typename PointOutT>
Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset.
This is optional, if this is not set, it will only use the data in the input cloud to estimate the features. This is useful when you only need to compute the features for a downsampled cloud.
- Parameters
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Definition at line 144 of file feature.h.