/* * Software License Agreement (BSD License) * * Copyright (c) 2011, Alexandru-Eugen Ichim * Willow Garage, 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. * * $Id$ */ #pragma once #include namespace pcl { /** \brief * Based on the paper: * Xinju Li and Igor Guskov * Multi-scale features for approximate alignment of point-based surfaces * Proceedings of the third Eurographics symposium on Geometry processing * July 2005, Vienna, Austria * * \author Alexandru-Eugen Ichim */ template class SmoothedSurfacesKeypoint : public Keypoint { public: using Ptr = shared_ptr >; using ConstPtr = shared_ptr >; using PCLBase::input_; using Keypoint::name_; using Keypoint::tree_; using Keypoint::keypoints_indices_; using Keypoint::initCompute; using PointCloudT = pcl::PointCloud; using PointCloudTConstPtr = typename PointCloudT::ConstPtr; using PointCloudNT = pcl::PointCloud; using PointCloudNTConstPtr = typename PointCloudNT::ConstPtr; using PointCloudTPtr = typename PointCloudT::Ptr; using KdTreePtr = typename Keypoint::KdTreePtr; SmoothedSurfacesKeypoint () : Keypoint (), neighborhood_constant_ (0.5f), clouds_ (), cloud_normals_ (), cloud_trees_ (), normals_ (), input_scale_ (0.0f), input_index_ () { name_ = "SmoothedSurfacesKeypoint"; // hack to pass the initCompute () check of Keypoint - although it is never used in SmoothedSurfacesKeypoint Keypoint::search_radius_ = 0.1; } void addSmoothedPointCloud (const PointCloudTConstPtr &cloud, const PointCloudNTConstPtr &normals, KdTreePtr &kdtree, float &scale); void resetClouds (); inline void setNeighborhoodConstant (float neighborhood_constant) { neighborhood_constant_ = neighborhood_constant; } inline float getNeighborhoodConstant () { return neighborhood_constant_; } inline void setInputNormals (const PointCloudNTConstPtr &normals) { normals_ = normals; } inline void setInputScale (float input_scale) { input_scale_ = input_scale; } void detectKeypoints (PointCloudT &output) override; protected: bool initCompute () override; private: float neighborhood_constant_; std::vector clouds_; std::vector cloud_normals_; std::vector cloud_trees_; PointCloudNTConstPtr normals_; std::vector > scales_; float input_scale_; std::size_t input_index_; static bool compareScalesFunction (const std::pair &a, const std::pair &b) { return a.first < b.first; } }; }