/* * Software License Agreement (BSD License) * * Point Cloud Library (PCL) - www.pointclouds.org * Copyright (c) 2013-, Open Perception Inc. * * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials provided * with the distribution. * * Neither the name of Willow Garage, Inc. nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * */ #pragma once #include #include namespace pcl { /** \brief TrajkovicKeypoint3D implements Trajkovic and Hedley corner detector on * point cloud using geometric information. * It uses first order statistics to find variation of normals. * This work is part of Nizar Sallem PhD thesis. * * \author Nizar Sallem * \ingroup keypoints */ template class TrajkovicKeypoint3D : public Keypoint { public: using Ptr = shared_ptr >; using ConstPtr = shared_ptr >; using PointCloudIn = typename Keypoint::PointCloudIn; using PointCloudOut = typename Keypoint::PointCloudOut; using PointCloudInConstPtr = typename PointCloudIn::ConstPtr; using Normals = pcl::PointCloud; using NormalsPtr = typename Normals::Ptr; using NormalsConstPtr = typename Normals::ConstPtr; using Keypoint::name_; using Keypoint::input_; using Keypoint::indices_; using Keypoint::keypoints_indices_; using Keypoint::initCompute; enum ComputationMethod { FOUR_CORNERS, EIGHT_CORNERS }; /** \brief Constructor * \param[in] method the method to be used to determine the corner responses * \param[in] window_size * \param[in] first_threshold the threshold used in the simple cornerness test. * \param[in] second_threshold the threshold used to reject weak corners. */ TrajkovicKeypoint3D (ComputationMethod method = FOUR_CORNERS, int window_size = 3, float first_threshold = 0.00046, float second_threshold = 0.03589) : method_ (method) , window_size_ (window_size) , first_threshold_ (first_threshold) , second_threshold_ (second_threshold) , threads_ (1) { name_ = "TrajkovicKeypoint3D"; } /** \brief set the method of the response to be calculated. * \param[in] method either 4 corners or 8 corners */ inline void setMethod (ComputationMethod method) { method_ = method; } /// \brief \return the computation method inline ComputationMethod getMethod () const { return (method_); } /// \brief Set window size inline void setWindowSize (int window_size) { window_size_= window_size; } /// \brief \return window size i.e. window width or height inline int getWindowSize () const { return (window_size_); } /** \brief set the first_threshold to reject corners in the simple cornerness * computation stage. * \param[in] threshold */ inline void setFirstThreshold (float threshold) { first_threshold_= threshold; } /// \brief \return first threshold inline float getFirstThreshold () const { return (first_threshold_); } /** \brief set the second threshold to reject corners in the final cornerness * computation stage. * \param[in] threshold */ inline void setSecondThreshold (float threshold) { second_threshold_= threshold; } /// \brief \return second threshold inline float getSecondThreshold () const { return (second_threshold_); } /** \brief Set normals if precalculated normals are available. * \param normals */ inline void setNormals (const NormalsConstPtr &normals) { normals_ = normals; } /// \brief \return points normals as calculated or given inline void getNormals () const { return (normals_); } /** \brief Initialize the scheduler and set the number of threads to use. * \param nr_threads the number of hardware threads to use, 0 for automatic. */ inline void setNumberOfThreads (unsigned int nr_threads = 0) { threads_ = nr_threads; } /// \brief \return the number of threads inline unsigned int getNumberOfThreads () const { return (threads_); } protected: bool initCompute () override; void detectKeypoints (PointCloudOut &output) override; private: /** Return a const reference to the normal at (i,j) if it is finite else return * a reference to a null normal. * If the returned normal is valid \a counter is incremented. */ inline const NormalT& getNormalOrNull (int i, int j, int& counter) const { static const NormalT null; if (!isFinite ((*normals_) (i,j))) return (null); ++counter; return ((*normals_) (i,j)); } /// \return difference of two normals vectors inline float normalsDiff (const NormalT& a, const NormalT& b) const { double nx = a.normal_x; double ny = a.normal_y; double nz = a.normal_z; double mx = b.normal_x; double my = b.normal_y; double mz = b.normal_z; return (static_cast (1.0 - (nx*mx + ny*my + nz*mz))); } /// \return squared difference of two normals vectors inline float squaredNormalsDiff (const NormalT& a, const NormalT& b) const { float diff = normalsDiff (a,b); return (diff * diff); } /** Comparator for responses intensity * \return true if \a response_ at index \aa is greater than response at index \ab */ inline bool greaterCornernessAtIndices (int a, int b) const { return (response_->points [a] > response_->points [b]); } /// computation method ComputationMethod method_; /// window size int window_size_; /// half window size int half_window_size_; /// first threshold for quick rejection float first_threshold_; /// second threshold for corner evaluation float second_threshold_; /// number of threads to be used unsigned int threads_; /// point cloud normals NormalsConstPtr normals_; /// point cloud response pcl::PointCloud::Ptr response_; }; } #include