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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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using | PointCloud = pcl::PointCloud< PointInT > |
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using | PointCloudPtr = typename PointCloud::Ptr |
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using | PointCloudConstPtr = typename PointCloud::ConstPtr |
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using | PointIndicesPtr = PointIndices::Ptr |
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using | PointIndicesConstPtr = PointIndices::ConstPtr |
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| TrajkovicKeypoint2D (ComputationMethod method=FOUR_CORNERS, int window_size=3, float first_threshold=0.1, float second_threshold=100.0) |
| Constructor. More...
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void | setMethod (ComputationMethod method) |
| 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) |
| Set window size. More...
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int | getWindowSize () const |
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void | setFirstThreshold (float threshold) |
| 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) |
| 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) |
| 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 ()=default |
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| Keypoint () |
| 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 () 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...
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PointCloudInConstPtr | getSearchSurface () |
| 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 () |
| 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...
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double | getRadiusSearch () |
| 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) |
| 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...
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| PCLBase () |
| Empty constructor. More...
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| 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...
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PointCloudConstPtr const | getInputCloud () const |
| Get a pointer to the input point cloud dataset. More...
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virtual void | setIndices (const IndicesPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More...
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virtual void | setIndices (const IndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More...
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virtual void | setIndices (const PointIndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More...
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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...
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IndicesPtr | getIndices () |
| Get a pointer to the vector of indices used. More...
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IndicesConstPtr const | getIndices () const |
| Get a pointer to the vector of indices used. More...
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const PointInT & | operator[] (std::size_t pos) const |
| Override PointCloud operator[] to shorten code. 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 point 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.