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enum |
ComputationMethod { FOUR_CORNERS, EIGHT_CORNERS } |
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using |
Ptr = shared_ptr< TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT > > |
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using |
ConstPtr = shared_ptr< const TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT > > |
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using |
PointCloudIn = typename Keypoint< PointInT, PointOutT >::PointCloudIn
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using |
PointCloudOut = typename Keypoint< PointInT, PointOutT >::PointCloudOut
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using |
PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
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using |
Ptr = shared_ptr< Keypoint< PointInT, PointOutT > > |
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using |
ConstPtr = shared_ptr< const Keypoint< PointInT, PointOutT > > |
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using |
BaseClass = PCLBase< PointInT > |
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using |
KdTree = pcl::search::Search< PointInT > |
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using |
KdTreePtr = typename KdTree::Ptr
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using |
PointCloudIn = pcl::PointCloud< PointInT > |
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using |
PointCloudInPtr = typename PointCloudIn::Ptr
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using |
PointCloudInConstPtr = typename PointCloudIn::ConstPtr
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using |
PointCloudOut = pcl::PointCloud< PointOutT > |
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using |
SearchMethod = std::function< int(pcl::index_t, double, pcl::Indices &, std::vector< float > &)> |
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using |
SearchMethodSurface = std::function< int(const PointCloudIn &cloud, pcl::index_t index, double, pcl::Indices &, std::vector< float > &)> |
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TrajkovicKeypoint2D (ComputationMethod method=FOUR_CORNERS, int window_size=3, float first_threshold=0.1, float second_threshold=100.0) |
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Constructor. More...
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void |
setMethod (ComputationMethod method) |
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set the method of the response to be calculated. More...
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ComputationMethod |
getMethod () const |
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void |
setWindowSize (int window_size) |
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Set window size. More...
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int |
getWindowSize () const |
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void |
setFirstThreshold (float threshold) |
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set the first_threshold to reject corners in the simple cornerness computation stage. More...
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float |
getFirstThreshold () const |
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void |
setSecondThreshold (float threshold) |
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set the second threshold to reject corners in the final cornerness computation stage. More...
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float |
getSecondThreshold () const |
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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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unsigned int |
getNumberOfThreads () const |
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Keypoint () |
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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) |
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void |
hessianBlob (PointInT &output, PointInT &input, const float sigma, bool SCALE) |
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void |
hessianBlob (PointInT &output, PointInT &input, const float start_scale, const float scaling_factor, const int num_scales) |
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void |
imageElementMultiply (PointInT &output, PointInT &input1, PointInT &input2) |
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~Keypoint () |
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Empty destructor. More...
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virtual void |
setSearchSurface (const PointCloudInConstPtr &cloud) |
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Provide a pointer to the input dataset that we need to estimate features at every point for. More...
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PointCloudInConstPtr |
getSearchSurface () |
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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 () |
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Get a pointer to the search method used. More...
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double |
getSearchParameter () |
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Get the internal search parameter. More...
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void |
setKSearch (int k) |
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Set the number of k nearest neighbors to use for the feature estimation. More...
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int |
getKSearch () |
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get the number of k nearest neighbors used for the feature estimation. More...
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void |
setRadiusSearch (double radius) |
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Set the sphere radius that is to be used for determining the nearest neighbors used for the key point detection. More...
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double |
getRadiusSearch () |
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Get the sphere radius used for determining the neighbors. More...
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pcl::PointIndicesConstPtr |
getKeypointsIndices () |
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void |
compute (PointCloudOut &output) |
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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 |
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Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
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template<typename PointInT, typename PointOutT, typename IntensityT = pcl::common::IntensityFieldAccessor<PointInT>>
class pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >
TrajkovicKeypoint2D implements Trajkovic and Hedley corner detector on organized pooint cloud using intensity information.
It uses first order statistics to find variation of intensities in horizontal or vertical directions.
- Author
- Nizar Sallem
Definition at line 54 of file trajkovic_2d.h.