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 "Shadow.h" 00036 00037 #include "Functions.h" 00038 00039 // ShadowDataPointsFilter 00040 // Constructor 00041 template<typename T> 00042 ShadowDataPointsFilter<T>::ShadowDataPointsFilter(const Parameters& params): 00043 PointMatcher<T>::DataPointsFilter("ShadowDataPointsFilter", 00044 ShadowDataPointsFilter::availableParameters(), params), 00045 eps(sin(Parametrizable::get<T>("eps"))) 00046 { 00047 //waring: maxAngle is change to sin(maxAngle)! 00048 } 00049 00050 // Compute 00051 template<typename T> 00052 typename PointMatcher<T>::DataPoints 00053 ShadowDataPointsFilter<T>::filter(const DataPoints& input) 00054 { 00055 DataPoints output(input); 00056 inPlaceFilter(output); 00057 return output; 00058 } 00059 00060 // In-place filter 00061 template<typename T> 00062 void ShadowDataPointsFilter<T>::inPlaceFilter(DataPoints& cloud) 00063 { 00064 using namespace PointMatcherSupport; 00065 00066 // Check if normals are present 00067 if (!cloud.descriptorExists("normals")) 00068 { 00069 throw InvalidField("ShadowDataPointsFilter, Error: cannot find normals in descriptors"); 00070 } 00071 00072 const int dim(cloud.features.rows()); 00073 const int featDim(cloud.features.cols()); 00074 00075 const BOOST_AUTO(normals, cloud.getDescriptorViewByName("normals")); 00076 int j = 0; 00077 00078 for(int i=0; i < featDim; ++i) 00079 { 00080 const Vector normal = normals.col(i).normalized(); 00081 const Vector point = cloud.features.block(0, i, dim-1, 1).normalized(); 00082 00083 const T value = anyabs(normal.dot(point)); 00084 00085 if(value > eps) // test to keep the points 00086 { 00087 cloud.features.col(j) = cloud.features.col(i); 00088 cloud.descriptors.col(j) = cloud.descriptors.col(i); 00089 ++j; 00090 } 00091 } 00092 00093 cloud.conservativeResize(j); 00094 } 00095 00096 template struct ShadowDataPointsFilter<float>; 00097 template struct ShadowDataPointsFilter<double>; 00098