208 lines
6.6 KiB
C++
208 lines
6.6 KiB
C++
/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2013-, Open Perception, Inc.
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of the copyright holder(s) nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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* height_map_2d.h
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* Created on: Nov 30, 2012
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* Author: Matteo Munaro
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*/
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#pragma once
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#include <pcl/people/person_cluster.h>
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#include <pcl/point_types.h>
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namespace pcl
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{
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namespace people
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{
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/** \brief @b HeightMap2D represents a class for creating a 2D height map from a point cloud and searching for its local maxima
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* \author Matteo Munaro
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* \ingroup people
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*/
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template <typename PointT> class HeightMap2D;
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template <typename PointT>
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class HeightMap2D
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{
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public:
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using PointCloud = pcl::PointCloud<PointT>;
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using PointCloudPtr = typename PointCloud::Ptr;
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using PointCloudConstPtr = typename PointCloud::ConstPtr;
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/** \brief Constructor. */
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HeightMap2D();
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/** \brief Destructor. */
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virtual ~HeightMap2D ();
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/**
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* \brief Compute the height map with the projection of cluster points onto the ground plane.
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*
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* \param[in] cluster The PersonCluster used to compute the height map.
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*/
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void
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compute (pcl::people::PersonCluster<PointT>& cluster);
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/**
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* \brief Compute local maxima of the height map.
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*/
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void
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searchLocalMaxima ();
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/**
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* \brief Filter maxima of the height map by imposing a minimum distance between them.
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*/
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void
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filterMaxima ();
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/**
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* \brief Set initial cluster indices.
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*
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* \param[in] cloud A pointer to the input cloud.
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*/
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void
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setInputCloud (PointCloudPtr& cloud);
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/**
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* \brief Set the ground coefficients.
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*
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* \param[in] ground_coeffs The ground plane coefficients.
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*/
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void
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setGround (Eigen::VectorXf& ground_coeffs);
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/**
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* \brief Set bin size for the height map.
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*
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* \param[in] bin_size Bin size for the height map (default = 0.06).
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*/
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void
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setBinSize (float bin_size);
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/**
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* \brief Set minimum distance between maxima.
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*
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* \param[in] minimum_distance_between_maxima Minimum allowed distance between maxima (default = 0.3).
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*/
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void
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setMinimumDistanceBetweenMaxima (float minimum_distance_between_maxima);
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/**
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* \brief Set sensor orientation to landscape mode (false) or portrait mode (true).
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*
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* \param[in] vertical Landscape (false) or portrait (true) mode (default = false).
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*/
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void
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setSensorPortraitOrientation (bool vertical);
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/**
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* \brief Get the height map as a vector of int.
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*/
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std::vector<int>&
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getHeightMap ();
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/**
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* \brief Get bin size for the height map.
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*/
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float
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getBinSize ();
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/**
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* \brief Get minimum distance between maxima of the height map.
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*/
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float
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getMinimumDistanceBetweenMaxima ();
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/**
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* \brief Return the maxima number after the filterMaxima method.
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*/
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int&
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getMaximaNumberAfterFiltering ();
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/**
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* \brief Return the point cloud indices corresponding to the maxima computed after the filterMaxima method.
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*/
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std::vector<int>&
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getMaximaCloudIndicesFiltered ();
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protected:
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/** \brief ground plane coefficients */
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Eigen::VectorXf ground_coeffs_;
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/** \brief ground plane normalization factor */
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float sqrt_ground_coeffs_;
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/** \brief pointer to the input cloud */
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PointCloudPtr cloud_;
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/** \brief if true, the sensor is considered to be vertically placed (portrait mode) */
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bool vertical_;
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/** \brief vector with maximum height values for every bin (height map) */
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std::vector<int> buckets_;
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/** \brief indices of the pointcloud points with maximum height for every bin */
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std::vector<int> buckets_cloud_indices_;
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/** \brief bin dimension */
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float bin_size_;
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/** \brief number of local maxima in the height map */
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int maxima_number_;
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/** \brief contains the position of the maxima in the buckets vector */
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std::vector<int> maxima_indices_;
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/** \brief contains the point cloud position of the maxima (indices of the point cloud) */
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std::vector<int> maxima_cloud_indices_;
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/** \brief number of local maxima after filtering */
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int maxima_number_after_filtering_;
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/** \brief contains the position of the maxima in the buckets array after filtering */
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std::vector<int> maxima_indices_filtered_;
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/** \brief contains the point cloud position of the maxima after filtering */
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std::vector<int> maxima_cloud_indices_filtered_;
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/** \brief minimum allowed distance between maxima */
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float min_dist_between_maxima_;
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};
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} /* namespace people */
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} /* namespace pcl */
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#include <pcl/people/impl/height_map_2d.hpp>
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