00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2009-2011, Willow Garage, Inc. 00006 * 00007 * All rights reserved. 00008 * 00009 * Redistribution and use in source and binary forms, with or without 00010 * modification, are permitted provided that the following conditions 00011 * are met: 00012 * 00013 * * Redistributions of source code must retain the above copyright 00014 * notice, this list of conditions and the following disclaimer. 00015 * * Redistributions in binary form must reproduce the above 00016 * copyright notice, this list of conditions and the following 00017 * disclaimer in the documentation and/or other materials provided 00018 * with the distribution. 00019 * * Neither the name of Willow Garage, Inc. nor the names of its 00020 * contributors may be used to endorse or promote products derived 00021 * from this software without specific prior written permission. 00022 * 00023 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 00024 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 00025 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS 00026 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 00027 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, 00028 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, 00029 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00030 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 00031 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT 00032 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN 00033 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00034 * POSSIBILITY OF SUCH DAMAGE. 00035 * 00036 * $Id: example_principal_curvatures_estimation.cpp 5003 2012-03-10 02:43:45Z gedikli $ 00037 * 00038 */ 00039 00040 00041 #include <iostream> 00042 #include <vector> 00043 00044 #include <pcl/io/pcd_io.h> 00045 #include <pcl/point_types.h> 00046 #include <pcl/features/normal_3d.h> 00047 #include <pcl/features/principal_curvatures.h> 00048 00049 00050 int 00051 main (int, char** argv) 00052 { 00053 std::string filename = argv[1]; 00054 std::cout << "Reading " << filename << std::endl; 00055 00056 pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>); 00057 00058 if (pcl::io::loadPCDFile<pcl::PointXYZ> (filename, *cloud) == -1) //* load the file 00059 { 00060 PCL_ERROR ("Couldn't read file"); 00061 return (-1); 00062 } 00063 00064 std::cout << "Loaded " << cloud->points.size () << " points." << std::endl; 00065 00066 // Compute the normals 00067 pcl::NormalEstimation<pcl::PointXYZ, pcl::Normal> normal_estimation; 00068 normal_estimation.setInputCloud (cloud); 00069 00070 pcl::search::KdTree<pcl::PointXYZ>::Ptr tree (new pcl::search::KdTree<pcl::PointXYZ>); 00071 normal_estimation.setSearchMethod (tree); 00072 00073 pcl::PointCloud<pcl::Normal>::Ptr cloud_with_normals (new pcl::PointCloud<pcl::Normal>); 00074 00075 normal_estimation.setRadiusSearch (0.03); 00076 00077 normal_estimation.compute (*cloud_with_normals); 00078 00079 // Setup the principal curvatures computation 00080 pcl::PrincipalCurvaturesEstimation<pcl::PointXYZ, pcl::Normal, pcl::PrincipalCurvatures> principal_curvatures_estimation; 00081 00082 // Provide the original point cloud (without normals) 00083 principal_curvatures_estimation.setInputCloud (cloud); 00084 00085 // Provide the point cloud with normals 00086 principal_curvatures_estimation.setInputNormals (cloud_with_normals); 00087 00088 // Use the same KdTree from the normal estimation 00089 principal_curvatures_estimation.setSearchMethod (tree); 00090 principal_curvatures_estimation.setRadiusSearch (1.0); 00091 00092 // Actually compute the principal curvatures 00093 pcl::PointCloud<pcl::PrincipalCurvatures>::Ptr principal_curvatures (new pcl::PointCloud<pcl::PrincipalCurvatures> ()); 00094 principal_curvatures_estimation.compute (*principal_curvatures); 00095 00096 std::cout << "output points.size (): " << principal_curvatures->points.size () << std::endl; 00097 00098 // Display and retrieve the shape context descriptor vector for the 0th point. 00099 pcl::PrincipalCurvatures descriptor = principal_curvatures->points[0]; 00100 std::cout << descriptor << std::endl; 00101 00102 return 0; 00103 }