00001 /* 00002 * Software License Agreement (BSD License) 00003 * 00004 * Point Cloud Library (PCL) - www.pointclouds.org 00005 * Copyright (c) 2010-2011, 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: distances.cpp 527 2011-04-17 23:57:26Z rusu $ 00037 * 00038 */ 00039 #include <pcl/common/common.h> 00040 00042 void 00043 pcl::getMinMax (const sensor_msgs::PointCloud2 &cloud, int, 00044 const std::string &field_name, float &min_p, float &max_p) 00045 { 00046 min_p = FLT_MAX; 00047 max_p = -FLT_MAX; 00048 00049 int field_idx = -1; 00050 for (size_t d = 0; d < cloud.fields.size (); ++d) 00051 if (cloud.fields[d].name == field_name) 00052 field_idx = static_cast<int>(d); 00053 00054 if (field_idx == -1) 00055 { 00056 PCL_ERROR ("[getMinMax] Invalid field (%s) given!\n", field_name.c_str ()); 00057 return; 00058 } 00059 00060 for (unsigned int i = 0; i < cloud.fields[field_idx].count; ++i) 00061 { 00062 float data; 00063 // TODO: replace float with the real data type 00064 memcpy (&data, &cloud.data[cloud.fields[field_idx].offset + i * sizeof (float)], sizeof (float)); 00065 min_p = (data > min_p) ? min_p : data; 00066 max_p = (data < max_p) ? max_p : data; 00067 } 00068 } 00069 00071 void 00072 pcl::getMeanStdDev (const std::vector<float> &values, double &mean, double &stddev) 00073 { 00074 double sum = 0, sq_sum = 0; 00075 00076 for (size_t i = 0; i < values.size (); ++i) 00077 { 00078 sum += values[i]; 00079 sq_sum += values[i] * values[i]; 00080 } 00081 mean = sum / static_cast<double>(values.size ()); 00082 double variance = (sq_sum - sum * sum / static_cast<double>(values.size ())) / (static_cast<double>(values.size ()) - 1); 00083 stddev = sqrt (variance); 00084 } 00085