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| | AgastKeypoint2D () |
| | Constructor.
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| | ~AgastKeypoint2D () override=default |
| | Destructor.
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| | AgastKeypoint2D () |
| | Constructor.
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| | ~AgastKeypoint2D () override=default |
| | Destructor.
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| | AgastKeypoint2DBase () |
| | Constructor.
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| | ~AgastKeypoint2DBase () override=default |
| | Destructor.
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| void | setThreshold (const double threshold) |
| | Sets the threshold for corner detection.
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| double | getThreshold () |
| | Get the threshold for corner detection, as set by the user.
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| void | setMaxKeypoints (const unsigned int nr_max_keypoints) |
| | Sets the maximum number of keypoints to return.
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| unsigned int | getMaxKeypoints () |
| | Get the maximum number of keypoints to return, as set by the user.
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| void | setMaxDataValue (const double bmax) |
| | Sets the max image data value (affects how many iterations AGAST does)
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| double | getMaxDataValue () |
| | Get the bmax image value, as set by the user.
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| void | setNonMaxSuppression (const bool enabled) |
| | Sets whether non-max-suppression is applied or not.
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| bool | getNonMaxSuppression () |
| | Returns whether non-max-suppression is applied or not.
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| void | setAgastDetector (const AgastDetectorPtr &detector) |
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| AgastDetectorPtr | getAgastDetector () |
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| | Keypoint ()=default |
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| | Keypoint () |
| | Empty constructor.
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| void | harrisCorner (pcl::PointXYZ &output, pcl::PointXYZ &input, const float sigma_d, const float sigma_i, const float alpha, const float thresh) |
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| void | hessianBlob (pcl::PointXYZ &output, pcl::PointXYZ &input, const float sigma, bool SCALE) |
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| void | hessianBlob (pcl::PointXYZ &output, pcl::PointXYZ &input, const float start_scale, const float scaling_factor, const int num_scales) |
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| void | imageElementMultiply (pcl::PointXYZ &output, pcl::PointXYZ &input1, pcl::PointXYZ &input2) |
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| | ~Keypoint () override=default |
| | Empty destructor.
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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.
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| PointCloudInConstPtr | getSearchSurface () |
| | Get a pointer to the surface point cloud dataset.
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| void | setSearchMethod (const KdTreePtr &tree) |
| | Provide a pointer to the search object.
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| KdTreePtr | getSearchMethod () |
| | Get a pointer to the search method used.
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| double | getSearchParameter () |
| | Get the internal search parameter.
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| void | setKSearch (int k) |
| | Set the number of k nearest neighbors to use for the feature estimation.
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| int | getKSearch () |
| | get the number of k nearest neighbors used for the feature estimation.
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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.
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| double | getRadiusSearch () |
| | Get the sphere radius used for determining the neighbors.
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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 ()
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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.
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| | PCLBase () |
| | Empty constructor.
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| | PCLBase (const PCLBase &base) |
| | Copy constructor.
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| virtual | ~PCLBase ()=default |
| | Destructor.
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| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| | Provide a pointer to the input dataset.
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| PointCloudConstPtr const | getInputCloud () const |
| | Get a pointer to the input point cloud dataset.
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| virtual void | setIndices (const IndicesPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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| virtual void | setIndices (const IndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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| virtual void | setIndices (const PointIndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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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.
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| IndicesPtr | getIndices () |
| | Get a pointer to the vector of indices used.
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| IndicesConstPtr const | getIndices () const |
| | Get a pointer to the vector of indices used.
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| const PointInT & | operator[] (std::size_t pos) const |
| | Override PointCloud operator[] to shorten code.
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| | PCLBase () |
| | Empty constructor.
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| | PCLBase (const PCLBase &base) |
| | Copy constructor.
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| virtual | ~PCLBase ()=default |
| | Destructor.
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| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| | Provide a pointer to the input dataset.
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| PointCloudConstPtr const | getInputCloud () const |
| | Get a pointer to the input point cloud dataset.
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| virtual void | setIndices (const IndicesPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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| virtual void | setIndices (const IndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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| virtual void | setIndices (const PointIndicesConstPtr &indices) |
| | Provide a pointer to the vector of indices that represents the input data.
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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.
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| IndicesPtr | getIndices () |
| | Get a pointer to the vector of indices used.
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| IndicesConstPtr const | getIndices () const |
| | Get a pointer to the vector of indices used.
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| const PointInT & | operator[] (std::size_t pos) const |
| | Override PointCloud operator[] to shorten code.
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Detects 2D AGAST corner points.
Based on the original work and paper reference by
- Elmar Mair, Gregory D. Hager, Darius Burschka, Michael Suppa, and Gerhard Hirzinger. Adaptive and generic corner detection based on the accelerated segment test. In Proceedings of the European Conference on Computer Vision (ECCV'10), September 2010.
Code example:
void setThreshold(const double threshold)
Sets the threshold for corner detection.
Detects 2D AGAST corner points.
void compute(PointCloudOut &output)
Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using t...
virtual void setInputCloud(const PointCloudConstPtr &cloud)
Provide a pointer to the input dataset.
PointCloud represents the base class in PCL for storing collections of 3D points.
- Note
- This is a specialized version for PointXYZ clouds, and operates on depth (z) as float. The output keypoints are of the PointXY type.
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The AGAST keypoint type used is 7_12s.
- Author
- Stefan Holzer, Radu B. Rusu
Definition at line 775 of file agast_2d.h.