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/*
* 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 the copyright holder(s) 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.
*
* height_map_2d.h
* Created on: Nov 30, 2012
* Author: Matteo Munaro
*/
#pragma once
#include <pcl/people/person_cluster.h>
#include <pcl/point_types.h>
namespace pcl
{
namespace people
{
/** \brief @b HeightMap2D represents a class for creating a 2D height map from a point cloud and searching for its local maxima
* \author Matteo Munaro
* \ingroup people
*/
template <typename PointT> class HeightMap2D;
template <typename PointT>
class HeightMap2D
{
public:
using PointCloud = pcl::PointCloud<PointT>;
using PointCloudPtr = typename PointCloud::Ptr;
using PointCloudConstPtr = typename PointCloud::ConstPtr;
/** \brief Constructor. */
HeightMap2D();
/** \brief Destructor. */
virtual ~HeightMap2D ();
/**
* \brief Compute the height map with the projection of cluster points onto the ground plane.
*
* \param[in] cluster The PersonCluster used to compute the height map.
*/
void
compute (pcl::people::PersonCluster<PointT>& cluster);
/**
* \brief Compute local maxima of the height map.
*/
void
searchLocalMaxima ();
/**
* \brief Filter maxima of the height map by imposing a minimum distance between them.
*/
void
filterMaxima ();
/**
* \brief Set initial cluster indices.
*
* \param[in] cloud A pointer to the input cloud.
*/
void
setInputCloud (PointCloudPtr& cloud);
/**
* \brief Set the ground coefficients.
*
* \param[in] ground_coeffs The ground plane coefficients.
*/
void
setGround (Eigen::VectorXf& ground_coeffs);
/**
* \brief Set bin size for the height map.
*
* \param[in] bin_size Bin size for the height map (default = 0.06).
*/
void
setBinSize (float bin_size);
/**
* \brief Set minimum distance between maxima.
*
* \param[in] minimum_distance_between_maxima Minimum allowed distance between maxima (default = 0.3).
*/
void
setMinimumDistanceBetweenMaxima (float minimum_distance_between_maxima);
/**
* \brief Set sensor orientation to landscape mode (false) or portrait mode (true).
*
* \param[in] vertical Landscape (false) or portrait (true) mode (default = false).
*/
void
setSensorPortraitOrientation (bool vertical);
/**
* \brief Get the height map as a vector of int.
*/
std::vector<int>&
getHeightMap ();
/**
* \brief Get bin size for the height map.
*/
float
getBinSize ();
/**
* \brief Get minimum distance between maxima of the height map.
*/
float
getMinimumDistanceBetweenMaxima ();
/**
* \brief Return the maxima number after the filterMaxima method.
*/
int&
getMaximaNumberAfterFiltering ();
/**
* \brief Return the point cloud indices corresponding to the maxima computed after the filterMaxima method.
*/
std::vector<int>&
getMaximaCloudIndicesFiltered ();
protected:
/** \brief ground plane coefficients */
Eigen::VectorXf ground_coeffs_;
/** \brief ground plane normalization factor */
float sqrt_ground_coeffs_;
/** \brief pointer to the input cloud */
PointCloudPtr cloud_;
/** \brief if true, the sensor is considered to be vertically placed (portrait mode) */
bool vertical_;
/** \brief vector with maximum height values for every bin (height map) */
std::vector<int> buckets_;
/** \brief indices of the pointcloud points with maximum height for every bin */
std::vector<int> buckets_cloud_indices_;
/** \brief bin dimension */
float bin_size_;
/** \brief number of local maxima in the height map */
int maxima_number_;
/** \brief contains the position of the maxima in the buckets vector */
std::vector<int> maxima_indices_;
/** \brief contains the point cloud position of the maxima (indices of the point cloud) */
std::vector<int> maxima_cloud_indices_;
/** \brief number of local maxima after filtering */
int maxima_number_after_filtering_;
/** \brief contains the position of the maxima in the buckets array after filtering */
std::vector<int> maxima_indices_filtered_;
/** \brief contains the point cloud position of the maxima after filtering */
std::vector<int> maxima_cloud_indices_filtered_;
/** \brief minimum allowed distance between maxima */
float min_dist_between_maxima_;
};
} /* namespace people */
} /* namespace pcl */
#include <pcl/people/impl/height_map_2d.hpp>