Point Cloud Library (PCL)
1.15.1
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pcl
features
pfh_tools.h
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/*
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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) 2012-, 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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*/
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#pragma once
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#if defined __GNUC__
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# pragma GCC system_header
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#endif
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#include <pcl/pcl_exports.h>
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#include <Eigen/Core>
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namespace
pcl
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{
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/** \brief Compute the 4-tuple representation containing the three angles and one distance between two points
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* represented by Cartesian coordinates and normals.
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* \note For explanations about the features, please see the literature mentioned above (the order of the
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* features might be different).
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* \param[in] p1 the first XYZ point
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* \param[in] n1 the first surface normal
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* \param[in] p2 the second XYZ point
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* \param[in] n2 the second surface normal
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* \param[out] f1 the first angular feature (angle between the projection of nq_idx and u)
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* \param[out] f2 the second angular feature (angle between nq_idx and v)
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* \param[out] f3 the third angular feature (angle between np_idx and |p_idx - q_idx|)
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* \param[out] f4 the distance feature (p_idx - q_idx)
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*
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* \note For efficiency reasons, we assume that the point data passed to the method is finite.
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* \ingroup features
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*/
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PCL_EXPORTS
bool
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computePairFeatures
(
const
Eigen::Vector4f &p1,
const
Eigen::Vector4f &n1,
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const
Eigen::Vector4f &p2,
const
Eigen::Vector4f &n2,
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float
&f1,
float
&f2,
float
&f3,
float
&f4);
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PCL_EXPORTS
bool
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computeRGBPairFeatures
(
const
Eigen::Vector4f &p1,
const
Eigen::Vector4f &n1,
const
Eigen::Vector4i &colors1,
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const
Eigen::Vector4f &p2,
const
Eigen::Vector4f &n2,
const
Eigen::Vector4i &colors2,
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float
&f1,
float
&f2,
float
&f3,
float
&f4,
float
&f5,
float
&f6,
float
&f7);
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}
pcl::computePairFeatures
PCL_EXPORTS bool computePairFeatures(const Eigen::Vector4f &p1, const Eigen::Vector4f &n1, const Eigen::Vector4f &p2, const Eigen::Vector4f &n2, float &f1, float &f2, float &f3, float &f4)
Compute the 4-tuple representation containing the three angles and one distance between two points re...
pcl
Definition
convolution.h:46
pcl::computeRGBPairFeatures
PCL_EXPORTS bool computeRGBPairFeatures(const Eigen::Vector4f &p1, const Eigen::Vector4f &n1, const Eigen::Vector4i &colors1, const Eigen::Vector4f &p2, const Eigen::Vector4f &n2, const Eigen::Vector4i &colors2, float &f1, float &f2, float &f3, float &f4, float &f5, float &f6, float &f7)
PCL_EXPORTS
#define PCL_EXPORTS
Definition
pcl_macros.h:324