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 * $Id$ 00037 * 00038 */ 00039 00040 #include <iostream> 00041 #include <vector> 00042 00043 #include <pcl/io/pcd_io.h> 00044 #include <pcl/point_types.h> 00045 #include <pcl/features/3dsc.h> 00046 #include <pcl/features/impl/3dsc.hpp> 00047 #include <pcl/features/normal_3d.h> 00048 00049 int 00050 main (int, char** argv) 00051 { 00052 std::string filename = argv[1]; 00053 std::cout << "Reading " << filename << std::endl; 00054 pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>); 00055 00056 if (pcl::io::loadPCDFile <pcl::PointXYZ> (filename.c_str (), *cloud) == -1) 00057 // load the file 00058 { 00059 PCL_ERROR ("Couldn't read file"); 00060 return (-1); 00061 } 00062 std::cout << "Loaded " << cloud->points.size () << " points." << std::endl; 00063 00064 // Compute the normals 00065 pcl::NormalEstimation<pcl::PointXYZ, pcl::Normal> normal_estimation; 00066 normal_estimation.setInputCloud (cloud); 00067 00068 pcl::search::KdTree<pcl::PointXYZ>::Ptr kdtree (new pcl::search::KdTree<pcl::PointXYZ>); 00069 normal_estimation.setSearchMethod (kdtree); 00070 00071 pcl::PointCloud<pcl::Normal>::Ptr normals (new pcl::PointCloud< pcl::Normal>); 00072 normal_estimation.setRadiusSearch (0.03); 00073 normal_estimation.compute (*normals); 00074 00075 // Setup the shape context computation 00076 pcl::ShapeContext3DEstimation<pcl::PointXYZ, pcl::Normal, pcl::ShapeContext1980> shape_context; 00077 00078 // Provide the point cloud 00079 shape_context.setInputCloud (cloud); 00080 // Provide normals 00081 shape_context.setInputNormals (normals); 00082 // Use the same KdTree from the normal estimation 00083 shape_context.setSearchMethod (kdtree); 00084 pcl::PointCloud<pcl::ShapeContext1980>::Ptr shape_context_features (new pcl::PointCloud<pcl::ShapeContext1980>); 00085 00086 // The minimal radius is generally set to approx. 1/10 of the search radius, while the pt. density radius is generally set to 1/5 00087 shape_context.setRadiusSearch (0.2); 00088 shape_context.setPointDensityRadius (0.04); 00089 shape_context.setMinimalRadius (0.02); 00090 00091 // Actually compute the shape contexts 00092 shape_context.compute (*shape_context_features); 00093 std::cout << "3DSC output points.size (): " << shape_context_features->points.size () << std::endl; 00094 00095 // Display and retrieve the shape context descriptor vector for the 0th point. 00096 std::cout << shape_context_features->points[0] << std::endl; 00097 //float* first_descriptor = shape_context_features->points[0].descriptor; // 1980 elements 00098 00099 return 0; 00100 }