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/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2010-2011, Willow Garage, 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 Willow Garage, Inc. 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.
*
* $Id$
*
*/
#ifndef PCL_SURFACE_RECONSTRUCTION_IMPL_H_
#define PCL_SURFACE_RECONSTRUCTION_IMPL_H_
#include <pcl/conversions.h> // for toPCLPointCloud2
#include <pcl/search/kdtree.h> // for KdTree
#include <pcl/search/organized.h> // for OrganizedNeighbor
namespace pcl
{
template <typename PointInT> void
SurfaceReconstruction<PointInT>::reconstruct (pcl::PolygonMesh &output)
{
// Copy the header
output.header = input_->header;
if (!initCompute ())
{
output.cloud.width = output.cloud.height = 0;
output.cloud.data.clear ();
output.polygons.clear ();
return;
}
// Check if a space search locator was given
if (check_tree_)
{
if (!tree_)
{
if (input_->isOrganized ())
tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
else
tree_.reset (new pcl::search::KdTree<PointInT> (false));
}
// Send the surface dataset to the spatial locator
tree_->setInputCloud (input_, indices_);
}
// Set up the output dataset
pcl::toPCLPointCloud2 (*input_, output.cloud); /// NOTE: passing in boost shared pointer with * as const& should be OK here
output.polygons.clear ();
output.polygons.reserve (2*indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
// Perform the actual surface reconstruction
performReconstruction (output);
deinitCompute ();
}
template <typename PointInT> void
SurfaceReconstruction<PointInT>::reconstruct (pcl::PointCloud<PointInT> &points,
std::vector<pcl::Vertices> &polygons)
{
// Copy the header
points.header = input_->header;
if (!initCompute ())
{
points.width = points.height = 0;
points.clear ();
polygons.clear ();
return;
}
// Check if a space search locator was given
if (check_tree_)
{
if (!tree_)
{
if (input_->isOrganized ())
tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
else
tree_.reset (new pcl::search::KdTree<PointInT> (false));
}
// Send the surface dataset to the spatial locator
tree_->setInputCloud (input_, indices_);
}
// Set up the output dataset
polygons.clear ();
polygons.reserve (2 * indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
// Perform the actual surface reconstruction
performReconstruction (points, polygons);
deinitCompute ();
}
template <typename PointInT> void
MeshConstruction<PointInT>::reconstruct (pcl::PolygonMesh &output)
{
// Copy the header
output.header = input_->header;
if (!initCompute ())
{
output.cloud.width = output.cloud.height = 1;
output.cloud.data.clear ();
output.polygons.clear ();
return;
}
// Check if a space search locator was given
if (check_tree_)
{
if (!tree_)
{
if (input_->isOrganized ())
tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
else
tree_.reset (new pcl::search::KdTree<PointInT> (false));
}
// Send the surface dataset to the spatial locator
tree_->setInputCloud (input_, indices_);
}
// Set up the output dataset
pcl::toPCLPointCloud2 (*input_, output.cloud); /// NOTE: passing in boost shared pointer with * as const& should be OK here
// output.polygons.clear ();
// output.polygons.reserve (2*indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
// Perform the actual surface reconstruction
performReconstruction (output);
deinitCompute ();
}
template <typename PointInT> void
MeshConstruction<PointInT>::reconstruct (std::vector<pcl::Vertices> &polygons)
{
if (!initCompute ())
{
polygons.clear ();
return;
}
// Check if a space search locator was given
if (check_tree_)
{
if (!tree_)
{
if (input_->isOrganized ())
tree_.reset (new pcl::search::OrganizedNeighbor<PointInT> ());
else
tree_.reset (new pcl::search::KdTree<PointInT> (false));
}
// Send the surface dataset to the spatial locator
tree_->setInputCloud (input_, indices_);
}
// Set up the output dataset
//polygons.clear ();
//polygons.reserve (2 * indices_->size ()); /// NOTE: usually the number of triangles is around twice the number of vertices
// Perform the actual surface reconstruction
performReconstruction (polygons);
deinitCompute ();
}
} // namespace pcl
#endif // PCL_SURFACE_RECONSTRUCTION_IMPL_H_