208 lines
6.1 KiB
C++
208 lines
6.1 KiB
C++
/*
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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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* $Id$
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*
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*/
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#ifndef PCL_SURFACE_RECONSTRUCTION_IMPL_H_
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#define PCL_SURFACE_RECONSTRUCTION_IMPL_H_
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#include <pcl/conversions.h> // for toPCLPointCloud2
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#include <pcl/search/kdtree.h> // for KdTree
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#include <pcl/search/organized.h> // for OrganizedNeighbor
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namespace pcl
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{
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template <typename PointInT> void
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SurfaceReconstruction<PointInT>::reconstruct (pcl::PolygonMesh &output)
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{
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// Copy the header
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output.header = input_->header;
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if (!initCompute ())
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{
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output.cloud.width = output.cloud.height = 0;
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output.cloud.data.clear ();
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output.polygons.clear ();
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return;
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}
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// Check if a space search locator was given
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if (check_tree_)
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{
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if (!tree_)
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{
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if (input_->isOrganized ())
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tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
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else
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tree_.reset (new pcl::search::KdTree<PointInT> (false));
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}
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// Send the surface dataset to the spatial locator
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tree_->setInputCloud (input_, indices_);
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}
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// Set up the output dataset
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pcl::toPCLPointCloud2 (*input_, output.cloud); /// NOTE: passing in boost shared pointer with * as const& should be OK here
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output.polygons.clear ();
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output.polygons.reserve (2*indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
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// Perform the actual surface reconstruction
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performReconstruction (output);
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deinitCompute ();
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}
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template <typename PointInT> void
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SurfaceReconstruction<PointInT>::reconstruct (pcl::PointCloud<PointInT> &points,
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std::vector<pcl::Vertices> &polygons)
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{
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// Copy the header
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points.header = input_->header;
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if (!initCompute ())
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{
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points.width = points.height = 0;
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points.clear ();
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polygons.clear ();
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return;
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}
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// Check if a space search locator was given
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if (check_tree_)
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{
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if (!tree_)
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{
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if (input_->isOrganized ())
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tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
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else
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tree_.reset (new pcl::search::KdTree<PointInT> (false));
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}
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// Send the surface dataset to the spatial locator
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tree_->setInputCloud (input_, indices_);
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}
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// Set up the output dataset
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polygons.clear ();
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polygons.reserve (2 * indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
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// Perform the actual surface reconstruction
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performReconstruction (points, polygons);
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deinitCompute ();
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}
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template <typename PointInT> void
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MeshConstruction<PointInT>::reconstruct (pcl::PolygonMesh &output)
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{
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// Copy the header
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output.header = input_->header;
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if (!initCompute ())
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{
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output.cloud.width = output.cloud.height = 1;
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output.cloud.data.clear ();
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output.polygons.clear ();
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return;
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}
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// Check if a space search locator was given
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if (check_tree_)
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{
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if (!tree_)
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{
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if (input_->isOrganized ())
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tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
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else
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tree_.reset (new pcl::search::KdTree<PointInT> (false));
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}
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// Send the surface dataset to the spatial locator
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tree_->setInputCloud (input_, indices_);
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}
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// Set up the output dataset
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pcl::toPCLPointCloud2 (*input_, output.cloud); /// NOTE: passing in boost shared pointer with * as const& should be OK here
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// output.polygons.clear ();
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// output.polygons.reserve (2*indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
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// Perform the actual surface reconstruction
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performReconstruction (output);
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deinitCompute ();
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}
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template <typename PointInT> void
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MeshConstruction<PointInT>::reconstruct (std::vector<pcl::Vertices> &polygons)
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{
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if (!initCompute ())
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{
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polygons.clear ();
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return;
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}
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// Check if a space search locator was given
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if (check_tree_)
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{
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if (!tree_)
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{
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if (input_->isOrganized ())
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tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
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else
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tree_.reset (new pcl::search::KdTree<PointInT> (false));
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}
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// Send the surface dataset to the spatial locator
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tree_->setInputCloud (input_, indices_);
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}
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// Set up the output dataset
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//polygons.clear ();
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//polygons.reserve (2 * indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
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// Perform the actual surface reconstruction
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performReconstruction (polygons);
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deinitCompute ();
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}
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} // namespace pcl
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#endif // PCL_SURFACE_RECONSTRUCTION_IMPL_H_
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