|
| using |
Ptr = shared_ptr< ISSKeypoint3D< PointInT, PointOutT, NormalT > > |
| using |
ConstPtr = shared_ptr< const ISSKeypoint3D< PointInT, PointOutT, NormalT > > |
| using |
PointCloudIn = typename Keypoint< PointInT, PointOutT >::PointCloudIn
|
| using |
PointCloudOut = typename Keypoint< PointInT, PointOutT >::PointCloudOut
|
| using |
PointCloudN = pcl::PointCloud< NormalT > |
| using |
PointCloudNPtr = typename PointCloudN::Ptr
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| using |
PointCloudNConstPtr = typename PointCloudN::ConstPtr
|
| using |
OctreeSearchIn = pcl::octree::OctreePointCloudSearch< PointInT > |
| using |
OctreeSearchInPtr = typename OctreeSearchIn::Ptr
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| using |
Ptr = shared_ptr< Keypoint< PointInT, PointOutT > > |
| using |
ConstPtr = shared_ptr< const Keypoint< PointInT, PointOutT > > |
| using |
BaseClass = PCLBase< PointInT > |
| using |
KdTree = pcl::search::Search< PointInT > |
| using |
KdTreePtr = typename KdTree::Ptr
|
| using |
PointCloudIn = pcl::PointCloud< PointInT > |
| using |
PointCloudInPtr = typename PointCloudIn::Ptr
|
| using |
PointCloudInConstPtr = typename PointCloudIn::ConstPtr
|
| using |
PointCloudOut = pcl::PointCloud< PointOutT > |
| using |
SearchMethod = std::function< int(pcl::index_t, double, pcl::Indices &, std::vector< float > &)> |
| using |
SearchMethodSurface = std::function< int(const PointCloudIn &cloud, pcl::index_t index, double, pcl::Indices &, std::vector< float > &)> |
| using |
PointCloud = pcl::PointCloud< PointInT > |
| using |
PointCloudPtr = typename PointCloud::Ptr
|
| using |
PointCloudConstPtr = typename PointCloud::ConstPtr
|
| using |
PointIndicesPtr = PointIndices::Ptr
|
| using |
PointIndicesConstPtr = PointIndices::ConstPtr
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|
| |
ISSKeypoint3D (double salient_radius=0.0001) |
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Constructor. More...
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~ISSKeypoint3D () override |
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Destructor. More...
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| void |
setSalientRadius (double salient_radius) |
| |
Set the radius of the spherical neighborhood used to compute the scatter matrix. More...
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| void |
setNonMaxRadius (double non_max_radius) |
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Set the radius for the application of the non maxima suppression algorithm. More...
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| void |
setNormalRadius (double normal_radius) |
| |
Set the radius used for the estimation of the surface normals of the input cloud. More...
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| void |
setBorderRadius (double border_radius) |
| |
Set the radius used for the estimation of the boundary points. More...
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| void |
setThreshold21 (double gamma_21) |
| |
Set the upper bound on the ratio between the second and the first eigenvalue. More...
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| void |
setThreshold32 (double gamma_32) |
| |
Set the upper bound on the ratio between the third and the second eigenvalue. More...
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| void |
setMinNeighbors (int min_neighbors) |
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Set the minimum number of neighbors that has to be found while applying the non maxima suppression algorithm. More...
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| void |
setNormals (const PointCloudNConstPtr &normals) |
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Set the normals if pre-calculated normals are available. More...
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| void |
setAngleThreshold (float angle) |
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Set the decision boundary (angle threshold) that marks points as boundary or regular. More...
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| void |
setNumberOfThreads (unsigned int nr_threads=0) |
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Initialize the scheduler and set the number of threads to use. More...
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| |
Keypoint ()=default |
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Keypoint () |
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Empty constructor. More...
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| void |
harrisCorner (PointInT &output, PointInT &input, const float sigma_d, const float sigma_i, const float alpha, const float thresh) |
| void |
hessianBlob (PointInT &output, PointInT &input, const float sigma, bool SCALE) |
| void |
hessianBlob (PointInT &output, PointInT &input, const float start_scale, const float scaling_factor, const int num_scales) |
| void |
imageElementMultiply (PointInT &output, PointInT &input1, PointInT &input2) |
| |
~Keypoint () override=default |
| |
Empty destructor. More...
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| virtual 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...
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| void |
setSearchMethod (const KdTreePtr &tree) |
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Provide a pointer to the search object. More...
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|
KdTreePtr |
getSearchMethod () |
| |
Get a pointer to the search method used. More...
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| double |
getSearchParameter () |
| |
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 () |
| |
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 key point detection. More...
|
| double |
getRadiusSearch () |
| |
Get the sphere radius used for determining the neighbors. More...
|
|
pcl::PointIndicesConstPtr |
getKeypointsIndices () |
| void |
compute (PointCloudOut &output) |
| |
Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More...
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| int |
searchForNeighbors (pcl::index_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const |
| |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
|
| |
PCLBase () |
| |
Empty constructor. More...
|
| |
PCLBase (const PCLBase &base) |
| |
Copy constructor. More...
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| virtual |
~PCLBase ()=default |
| |
Destructor. More...
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| 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 PointInT & |
operator[] (std::size_t pos) const |
| |
Override PointCloud operator[] to shorten code. More...
|
template<typename PointInT, typename PointOutT, typename NormalT = pcl::Normal>
class pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >
ISSKeypoint3D detects the Intrinsic Shape Signatures keypoints for a given point cloud.
This class is based on a particular implementation made by Federico Tombari and Samuele Salti and it has been explicitly adapted to PCL.
For more information about the original ISS detector, see:
- Yu Zhong, “Intrinsic shape signatures: A shape descriptor for 3D object recognition,” Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on , vol., no., pp.689-696, Sept. 27 2009-Oct. 4 2009
Code example:
pcl::PointCloud<pcl::PointXYZRGBA>::Ptr model (new pcl::PointCloud<pcl::PointXYZRGBA> ());
pcl::PointCloud<pcl::PointXYZRGBA>::Ptr model_keypoints (new pcl::PointCloud<pcl::PointXYZRGBA> ());
pcl::search::KdTree<pcl::PointXYZRGBA>::Ptr tree (new pcl::search::KdTree<pcl::PointXYZRGBA> ());
// Fill in the model cloud
double model_resolution;
// Compute model_resolution
pcl::ISSKeypoint3D<pcl::PointXYZRGBA, pcl::PointXYZRGBA> iss_detector;
iss_detector.setSearchMethod (tree);
iss_detector.setSalientRadius (6 * model_resolution);
iss_detector.setNonMaxRadius (4 * model_resolution);
iss_detector.setThreshold21 (0.975);
iss_detector.setThreshold32 (0.975);
iss_detector.setMinNeighbors (5);
iss_detector.setNumberOfThreads (4);
iss_detector.setInputCloud (model);
iss_detector.compute (*model_keypoints);
pcl::ISSKeypoint3DISSKeypoint3D detects the Intrinsic Shape Signatures keypoints for a given point cloud.Definition: iss_3d.h:86
pcl::ISSKeypoint3D
ISSKeypoint3D detects the Intrinsic Shape Signatures keypoints for a given point cloud.
Definition: iss_3d.h:86
pcl::ISSKeypoint3D::setNumberOfThreadsvoid setNumberOfThreads(unsigned int nr_threads=0)Initialize the scheduler and set the number of threads to use.Definition: iss_3d.hpp:106
pcl::ISSKeypoint3D::setNumberOfThreads
void setNumberOfThreads(unsigned int nr_threads=0)
Initialize the scheduler and set the number of threads to use.
Definition: iss_3d.hpp:106
pcl::ISSKeypoint3D::setSalientRadiusvoid setSalientRadius(double salient_radius)Set the radius of the spherical neighborhood used to compute the scatter matrix.Definition: iss_3d.hpp:50
pcl::ISSKeypoint3D::setSalientRadius
void setSalientRadius(double salient_radius)
Set the radius of the spherical neighborhood used to compute the scatter matrix.
Definition: iss_3d.hpp:50
pcl::ISSKeypoint3D::setThreshold21void setThreshold21(double gamma_21)Set the upper bound on the ratio between the second and the first eigenvalue.Definition: iss_3d.hpp:78
pcl::ISSKeypoint3D::setThreshold21
void setThreshold21(double gamma_21)
Set the upper bound on the ratio between the second and the first eigenvalue.
Definition: iss_3d.hpp:78
pcl::ISSKeypoint3D::setMinNeighborsvoid setMinNeighbors(int min_neighbors)Set the minimum number of neighbors that has to be found while applying the non maxima suppression al...Definition: iss_3d.hpp:92
pcl::ISSKeypoint3D::setMinNeighbors
void setMinNeighbors(int min_neighbors)
Set the minimum number of neighbors that has to be found while applying the non maxima suppression al...
Definition: iss_3d.hpp:92
pcl::ISSKeypoint3D::setThreshold32void setThreshold32(double gamma_32)Set the upper bound on the ratio between the third and the second eigenvalue.Definition: iss_3d.hpp:85
pcl::ISSKeypoint3D::setThreshold32
void setThreshold32(double gamma_32)
Set the upper bound on the ratio between the third and the second eigenvalue.
Definition: iss_3d.hpp:85
pcl::ISSKeypoint3D::setNonMaxRadiusvoid setNonMaxRadius(double non_max_radius)Set the radius for the application of the non maxima suppression algorithm.Definition: iss_3d.hpp:57
pcl::ISSKeypoint3D::setNonMaxRadius
void setNonMaxRadius(double non_max_radius)
Set the radius for the application of the non maxima suppression algorithm.
Definition: iss_3d.hpp:57
pcl::Keypoint::computevoid compute(PointCloudOut &output)Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using t...Definition: keypoint.hpp:137
pcl::Keypoint::compute
void compute(PointCloudOut &output)
Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using t...
Definition: keypoint.hpp:137
pcl::Keypoint::setSearchMethodvoid setSearchMethod(const KdTreePtr &tree)Provide a pointer to the search object.Definition: keypoint.h:100
pcl::Keypoint::setSearchMethod
void setSearchMethod(const KdTreePtr &tree)
Provide a pointer to the search object.
Definition: keypoint.h:100
pcl::PCLBase::setInputCloudvirtual void setInputCloud(const PointCloudConstPtr &cloud)Provide a pointer to the input dataset.Definition: pcl_base.hpp:65
pcl::PCLBase::setInputCloud
virtual void setInputCloud(const PointCloudConstPtr &cloud)
Provide a pointer to the input dataset.
Definition: pcl_base.hpp:65
pcl::PointCloud< pcl::PointXYZRGBA >
pcl::PointCloud< pcl::PointXYZRGBA >
pcl::PointCloud::Ptrshared_ptr< PointCloud< PointT > > PtrDefinition: point_cloud.h:413
pcl::PointCloud::Ptr
shared_ptr< PointCloud< PointT > > Ptr
Definition: point_cloud.h:413
pcl::search::KdTreesearch::KdTree is a wrapper class which inherits the pcl::KdTree class for performing search function...Definition: kdtree.h:62
pcl::search::KdTree
search::KdTree is a wrapper class which inherits the pcl::KdTree class for performing search function...
Definition: kdtree.h:62
pcl::search::KdTree::Ptrshared_ptr< KdTree< PointT, Tree > > PtrDefinition: kdtree.h:75
pcl::search::KdTree::Ptr
shared_ptr< KdTree< PointT, Tree > > Ptr
Definition: kdtree.h:75
- Author
- Gioia Ballin
Definition at line 85 of file iss_3d.h.