/* * 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 // for toPCLPointCloud2 #include // for KdTree #include // for OrganizedNeighbor namespace pcl { template void SurfaceReconstruction::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 ()); else tree_.reset (new pcl::search::KdTree (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 void SurfaceReconstruction::reconstruct (pcl::PointCloud &points, std::vector &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 ()); else tree_.reset (new pcl::search::KdTree (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 void MeshConstruction::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 ()); else tree_.reset (new pcl::search::KdTree (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 void MeshConstruction::reconstruct (std::vector &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 ()); else tree_.reset (new pcl::search::KdTree (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_