00001 // kate: replace-tabs off; indent-width 4; indent-mode normal 00002 // vim: ts=4:sw=4:noexpandtab 00003 /* 00004 00005 Copyright (c) 2010--2018, 00006 François Pomerleau and Stephane Magnenat, ASL, ETHZ, Switzerland 00007 You can contact the authors at <f dot pomerleau at gmail dot com> and 00008 <stephane at magnenat dot net> 00009 00010 All rights reserved. 00011 00012 Redistribution and use in source and binary forms, with or without 00013 modification, are permitted provided that the following conditions are met: 00014 * Redistributions of source code must retain the above copyright 00015 notice, this list of conditions and the following disclaimer. 00016 * Redistributions in binary form must reproduce the above copyright 00017 notice, this list of conditions and the following disclaimer in the 00018 documentation and/or other materials provided with the distribution. 00019 * Neither the name of the <organization> nor the 00020 names of its contributors may be used to endorse or promote products 00021 derived from this software without specific prior written permission. 00022 00023 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 00024 ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 00025 WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 00026 DISCLAIMED. IN NO EVENT SHALL ETH-ASL BE LIABLE FOR ANY 00027 DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 00028 (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00029 LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND 00030 ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 00031 (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00032 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00033 00034 */ 00035 #include "RandomSampling.h" 00036 00037 // RandomSamplingDataPointsFilter 00038 // Constructor 00039 template<typename T> 00040 RandomSamplingDataPointsFilter<T>::RandomSamplingDataPointsFilter(const Parameters& params): 00041 PointMatcher<T>::DataPointsFilter("RandomSamplingDataPointsFilter", RandomSamplingDataPointsFilter::availableParameters(), params), 00042 prob(Parametrizable::get<double>("prob")) 00043 { 00044 } 00045 00046 // Compute 00047 template<typename T> 00048 typename PointMatcher<T>::DataPoints 00049 RandomSamplingDataPointsFilter<T>::filter(const DataPoints& input) 00050 { 00051 DataPoints output(input); 00052 inPlaceFilter(output); 00053 return output; 00054 } 00055 00056 // In-place filter 00057 template<typename T> 00058 void RandomSamplingDataPointsFilter<T>::inPlaceFilter( 00059 DataPoints& cloud) 00060 { 00061 const int nbPointsIn = cloud.features.cols(); 00062 00063 int j = 0; 00064 for (int i = 0; i < nbPointsIn; ++i) 00065 { 00066 const float r = (float)std::rand()/(float)RAND_MAX; 00067 if (r < prob) 00068 { 00069 cloud.setColFrom(j, cloud, i); 00070 ++j; 00071 } 00072 } 00073 00074 cloud.conservativeResize(j); 00075 } 00076 00077 template struct RandomSamplingDataPointsFilter<float>; 00078 template struct RandomSamplingDataPointsFilter<double>; 00079 00080