gaussian.hpp
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) 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 the copyright holder(s) 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 #ifndef PCL_GAUSSIAN_KERNEL_IMPL
00041 #define PCL_GAUSSIAN_KERNEL_IMPL
00042 
00043 #include <pcl/exceptions.h>
00044 
00045 template <typename PointT> void 
00046 pcl::GaussianKernel::convolveRows(const pcl::PointCloud<PointT> &input,
00047                                   boost::function <float (const PointT& p)> field_accessor,
00048                                   const Eigen::VectorXf& kernel,
00049                                   pcl::PointCloud<float> &output) const
00050 {
00051   assert(kernel.size () % 2 == 1);
00052   int kernel_width = kernel.size () -1;
00053   int radius = kernel.size () / 2.0;
00054   if(output.height < input.height || output.width < input.width)
00055   {
00056     output.width = input.width;
00057     output.height = input.height;
00058     output.points.resize (input.height * input.width);
00059   }
00060 
00061   int i;
00062   for(int j = 0; j < input.height; j++)
00063   {
00064     for (i = 0 ; i < radius ; i++)
00065       output (i,j) = 0;
00066 
00067     for ( ; i < input.width - radius ; i++)  {
00068       output (i,j) = 0;
00069       for (int k = kernel_width, l = i - radius; k >= 0 ; k--, l++)
00070         output (i,j) += field_accessor (input (l,j)) * kernel[k];
00071     }
00072 
00073     for ( ; i < input.width ; i++)
00074       output (i,j) = 0;
00075   }
00076 }
00077 
00078 template <typename PointT> void 
00079 pcl::GaussianKernel::convolveCols(const pcl::PointCloud<PointT> &input,
00080                                   boost::function <float (const PointT& p)> field_accessor,
00081                                   const Eigen::VectorXf& kernel,
00082                                   pcl::PointCloud<float> &output) const
00083 {
00084   assert(kernel.size () % 2 == 1);
00085   int kernel_width = kernel.size () -1;
00086   int radius = kernel.size () / 2.0;
00087   if(output.height < input.height || output.width < input.width)
00088   {
00089     output.width = input.width;
00090     output.height = input.height;
00091     output.points.resize (input.height * input.width);
00092   }
00093 
00094   int j;
00095   for(int i = 0; i < input.width; i++)
00096   {
00097     for (j = 0 ; j < radius ; j++)
00098       output (i,j) = 0;
00099 
00100     for ( ; j < input.height - radius ; j++)  {
00101       output (i,j) = 0;
00102       for (int k = kernel_width, l = j - radius ; k >= 0 ; k--, l++)
00103       {
00104         output (i,j) += field_accessor (input (i,l)) * kernel[k];
00105       }
00106     }
00107 
00108     for ( ; j < input.height ; j++)
00109       output (i,j) = 0;
00110   }
00111 }
00112 
00113 #endif


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:24:19