Point Cloud Library (PCL)
1.15.1
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pcl
registration
impl
correspondence_types.hpp
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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) 2010, Willow Garage, Inc.
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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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* $Id$
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*
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*/
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#pragma once
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#include <cstddef>
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#include <vector>
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namespace
pcl
{
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namespace
registration
{
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inline
void
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getCorDistMeanStd
(
const
pcl::Correspondences
& correspondences,
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double
& mean,
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double
& stddev)
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{
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if
(correspondences.empty())
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return
;
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double
sum = 0, sq_sum = 0;
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for
(
const
auto
& correspondence : correspondences) {
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sum += correspondence.distance;
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sq_sum += correspondence.distance * correspondence.distance;
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}
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mean = sum /
static_cast<
double
>
(correspondences.size());
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double
variance = (sq_sum - sum * sum /
static_cast<
double
>
(correspondences.size())) /
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static_cast<
double
>
(correspondences.size() - 1);
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stddev = sqrt(variance);
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}
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inline
void
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getQueryIndices
(
const
pcl::Correspondences
& correspondences,
pcl::Indices
& indices)
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{
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indices.resize(correspondences.size());
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for
(std::size_t i = 0; i < correspondences.size(); ++i)
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indices[i] = correspondences[i].index_query;
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}
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inline
void
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getMatchIndices
(
const
pcl::Correspondences
& correspondences,
pcl::Indices
& indices)
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{
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indices.resize(correspondences.size());
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for
(std::size_t i = 0; i < correspondences.size(); ++i)
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indices[i] = correspondences[i].index_match;
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}
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}
// namespace registration
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}
// namespace pcl
pcl::registration
Definition
convergence_criteria.h:46
pcl::registration::getCorDistMeanStd
void getCorDistMeanStd(const pcl::Correspondences &correspondences, double &mean, double &stddev)
calculates the mean and standard deviation of descriptor distances from correspondences
Definition
correspondence_types.hpp:51
pcl::registration::getMatchIndices
void getMatchIndices(const pcl::Correspondences &correspondences, pcl::Indices &indices)
extracts the match indices
Definition
correspondence_types.hpp:79
pcl::registration::getQueryIndices
void getQueryIndices(const pcl::Correspondences &correspondences, pcl::Indices &indices)
extracts the query indices
Definition
correspondence_types.hpp:71
pcl
Definition
convolution.h:46
pcl::Correspondences
std::vector< pcl::Correspondence, Eigen::aligned_allocator< pcl::Correspondence > > Correspondences
Definition
correspondence.h:89
pcl::Indices
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition
types.h:133