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registration
include
pcl
registration
correspondence_estimation_normal_shooting.h
Go to the documentation of this file.
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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) 2010-2011, Willow Garage, 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 Willow Garage, Inc. 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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*/
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#ifndef PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_NORMAL_SHOOTING_H_
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#define PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_NORMAL_SHOOTING_H_
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#include <
pcl/registration/correspondence_types.h
>
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#include <
pcl/registration/correspondence_estimation.h
>
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namespace
pcl
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{
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namespace
registration
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{
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template
<
typename
Po
int
Source,
typename
Po
int
Target,
typename
NormalT>
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class
CorrespondenceEstimationNormalShooting
:
public
CorrespondenceEstimation
<PointSource, PointTarget>
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{
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public
:
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using
PCLBase<PointSource>::initCompute
;
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using
PCLBase<PointSource>::deinitCompute
;
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using
PCLBase<PointSource>::input_
;
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using
PCLBase<PointSource>::indices_
;
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using
CorrespondenceEstimation<PointSource, PointTarget>::getClassName
;
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typedef
typename
pcl::KdTree<PointTarget>
KdTree
;
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typedef
typename
pcl::KdTree<PointTarget>::Ptr
KdTreePtr
;
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typedef
pcl::PointCloud<PointSource>
PointCloudSource
;
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typedef
typename
PointCloudSource::Ptr
PointCloudSourcePtr
;
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typedef
typename
PointCloudSource::ConstPtr
PointCloudSourceConstPtr
;
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typedef
pcl::PointCloud<PointTarget>
PointCloudTarget
;
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typedef
typename
PointCloudTarget::Ptr
PointCloudTargetPtr
;
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typedef
typename
PointCloudTarget::ConstPtr
PointCloudTargetConstPtr
;
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typedef
typename
KdTree::PointRepresentationConstPtr
PointRepresentationConstPtr
;
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typedef
typename
pcl::PointCloud<NormalT>::Ptr
NormalsPtr
;
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CorrespondenceEstimationNormalShooting
()
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{
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corr_name_ =
"NormalShooting"
;
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}
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inline
void
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setSourceNormals
(
const
NormalsPtr
&normals) { source_normals_ = normals; }
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inline
NormalsPtr
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getSourceNormals
()
const
{
return
(source_normals_); }
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void
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determineCorrespondences
(
pcl::Correspondences
&correspondences,
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float
max_distance = std::numeric_limits<float>::max ());
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inline
void
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setKSearch
(
unsigned
int
k) { k_ = k; }
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inline
void
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getKSearch
()
const
{
return
(k_); }
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protected
:
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using
CorrespondenceEstimation<PointSource, PointTarget>::corr_name_
;
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using
CorrespondenceEstimation<PointSource, PointTarget>::tree_
;
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using
CorrespondenceEstimation<PointSource, PointTarget>::target_
;
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private
:
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NormalsPtr
source_normals_;
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unsigned
int
k_;
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};
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}
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}
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#include <
pcl/registration/impl/correspondence_estimation_normal_shooting.hpp
>
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#endif
/* PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_NORMAL_SHOOTING_H_ */
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