correspondence_rejection_var_trimmed.cpp
Go to the documentation of this file.
00001 /*
00002  * Software License Agreement (BSD License)
00003  *
00004  *  Point Cloud Library (PCL) - www.pointclouds.org
00005  *  Copyright (c) 2012, Open Perception, 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 Open Perception, 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 <pcl/registration/correspondence_rejection_var_trimmed.h>
00041 
00043 void
00044 pcl::registration::CorrespondenceRejectorVarTrimmed::getRemainingCorrespondences (
00045     const pcl::Correspondences& original_correspondences,
00046     pcl::Correspondences& remaining_correspondences)
00047 {
00048   std::vector <double> dists;
00049   dists.resize (original_correspondences.size ());
00050 
00051   for (size_t i = 0; i < original_correspondences.size (); ++i)
00052   {
00053     if (data_container_)
00054     {
00055       dists[i] = data_container_->getCorrespondenceScore (original_correspondences[i]);
00056     }
00057     else
00058     {
00059       dists[i] = original_correspondences[i].distance;
00060     }
00061   }
00062   factor_ = optimizeInlierRatio (dists);
00063   nth_element (dists.begin (), dists.begin () + int (double (dists.size ()) * factor_), dists.end ());
00064   trimmed_distance_ = dists [int (double (dists.size ()) * factor_)];
00065 
00066   unsigned int number_valid_correspondences = 0;
00067   remaining_correspondences.resize (original_correspondences.size ());
00068 
00069   for (size_t i = 0; i < original_correspondences.size (); ++i)
00070   {
00071     if ( dists[i] < trimmed_distance_)
00072     {
00073       remaining_correspondences[number_valid_correspondences] = original_correspondences[i];
00074       ++number_valid_correspondences;
00075     }
00076   }
00077   remaining_correspondences.resize (number_valid_correspondences);
00078 }
00079 
00081 float
00082 pcl::registration::CorrespondenceRejectorVarTrimmed::optimizeInlierRatio (std::vector <double>&  dists)
00083 {
00084   unsigned int points_nbr = static_cast<unsigned int> (dists.size ());
00085   std::sort (dists.begin (), dists.end ());
00086 
00087   const int min_el = int (floor (min_ratio_ * points_nbr));
00088   const int max_el = int (floor (max_ratio_ * points_nbr));
00089 
00090   typedef Eigen::Array <double, Eigen::Dynamic, 1> LineArray;
00091   Eigen::Map<LineArray> sorted_dist (&dists[0], points_nbr);
00092 
00093   const LineArray trunk_sorted_dist = sorted_dist.segment (min_el, max_el-min_el);
00094   const double lower_sum = sorted_dist.head (min_el).sum ();
00095   const LineArray ids = LineArray::LinSpaced (trunk_sorted_dist.rows (), min_el+1, max_el);
00096   const LineArray ratio = ids / points_nbr;
00097   const LineArray deno = ratio.pow (lambda_);
00098   const LineArray FRMS = deno.inverse ().square () * ids.inverse () * (lower_sum + trunk_sorted_dist);
00099   int min_index (0);
00100   FRMS.minCoeff (&min_index);
00101 
00102   const float opt_ratio = float (min_index + min_el) / float (points_nbr);
00103   return (opt_ratio);
00104 }


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:23:12