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/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2010-2011, Willow Garage, Inc.
* Copyright (c) 2012-, 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.
*
* $Id$
*
*/
#pragma once
#include <pcl/features/feature.h>
#include <pcl/common/intensity.h>
namespace pcl
{
/** \brief IntensityGradientEstimation estimates the intensity gradient for a point cloud that contains position
* and intensity values. The intensity gradient at a given point will be a vector orthogonal to the surface
* normal and pointing in the direction of the greatest increase in local intensity; the vector's magnitude
* indicates the rate of intensity change.
* \author Michael Dixon
* \ingroup features
*/
template <typename PointInT, typename PointNT, typename PointOutT, typename IntensitySelectorT = pcl::common::IntensityFieldAccessor<PointInT> >
class IntensityGradientEstimation : public FeatureFromNormals<PointInT, PointNT, PointOutT>
{
public:
using Ptr = shared_ptr<IntensityGradientEstimation<PointInT, PointNT, PointOutT, IntensitySelectorT> >;
using ConstPtr = shared_ptr<const IntensityGradientEstimation<PointInT, PointNT, PointOutT, IntensitySelectorT> >;
using Feature<PointInT, PointOutT>::feature_name_;
using Feature<PointInT, PointOutT>::getClassName;
using Feature<PointInT, PointOutT>::indices_;
using Feature<PointInT, PointOutT>::surface_;
using Feature<PointInT, PointOutT>::k_;
using Feature<PointInT, PointOutT>::search_parameter_;
using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_;
using PointCloudOut = typename Feature<PointInT, PointOutT>::PointCloudOut;
/** \brief Empty constructor. */
IntensityGradientEstimation () : intensity_ (), threads_ (0)
{
feature_name_ = "IntensityGradientEstimation";
};
/** \brief Initialize the scheduler and set the number of threads to use.
* \param nr_threads the number of hardware threads to use (0 sets the value back to automatic)
*/
inline void
setNumberOfThreads (unsigned int nr_threads = 0) { threads_ = nr_threads; }
protected:
/** \brief Estimate the intensity gradients for a set of points given in <setInputCloud (), setIndices ()> using
* the surface in setSearchSurface () and the spatial locator in setSearchMethod ().
* \param output the resultant point cloud that contains the intensity gradient vectors
*/
void
computeFeature (PointCloudOut &output) override;
/** \brief Estimate the intensity gradient around a given point based on its spatial neighborhood of points
* \param cloud a point cloud dataset containing XYZI coordinates (Cartesian coordinates + intensity)
* \param indices the indices of the neighoring points in the dataset
* \param point the 3D Cartesian coordinates of the point at which to estimate the gradient
* \param mean_intensity
* \param normal the 3D surface normal of the given point
* \param gradient the resultant 3D gradient vector
*/
void
computePointIntensityGradient (const pcl::PointCloud<PointInT> &cloud,
const pcl::Indices &indices,
const Eigen::Vector3f &point,
float mean_intensity,
const Eigen::Vector3f &normal,
Eigen::Vector3f &gradient);
protected:
///intensity field accessor structure
IntensitySelectorT intensity_;
///number of threads to be used, default 0 (auto)
unsigned int threads_;
};
}
#ifdef PCL_NO_PRECOMPILE
#include <pcl/features/impl/intensity_gradient.hpp>
#endif