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LidarIlluminator.cpp
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LidarIlluminator.cpp
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/***********************************************************************
LidarIlluminator - Post-processing filter to calculate normal vectors
for each point in a LiDAR data set.
Copyright (c) 2008-2011 Oliver Kreylos
This file is part of the LiDAR processing and analysis package.
The LiDAR processing and analysis package is free software; you can
redistribute it and/or modify it under the terms of the GNU General
Public License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
The LiDAR processing and analysis package is distributed in the hope
that it will be useful, but WITHOUT ANY WARRANTY; without even the
implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with the LiDAR processing and analysis package; if not, write to the
Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
02111-1307 USA
***********************************************************************/
#include <stdlib.h>
#include <string.h>
#include <string>
#include <iostream>
#include "LidarTypes.h"
#include "LidarProcessOctree.h"
#include "NormalCalculator.h"
int main(int argc,char* argv[])
{
const char* fileName=0;
unsigned int maxNumNeighbors=0;
Scalar radius=Scalar(0);
int cacheSize=512;
const char* outlierFileName=0;
unsigned int numThreads=1;
for(int i=1;i<argc;++i)
{
if(argv[i][0]=='-')
{
if(strcasecmp(argv[i]+1,"neighbors")==0)
{
++i;
maxNumNeighbors=atoi(argv[i]);
}
else if(strcasecmp(argv[i]+1,"radius")==0)
{
++i;
radius=Scalar(atof(argv[i]));
}
else if(strcasecmp(argv[i]+1,"cache")==0)
{
++i;
cacheSize=atoi(argv[i]);
}
else if(strcasecmp(argv[i]+1,"threads")==0)
{
++i;
numThreads=atoi(argv[i]);
}
else if(strcasecmp(argv[i]+1,"saveOutliers")==0)
{
++i;
outlierFileName=argv[i];
}
}
else if(fileName==0)
fileName=argv[i];
}
if(fileName==0)
{
std::cerr<<"No file name provided"<<std::endl;
return 1;
}
/* Create a processing octree: */
LidarProcessOctree lpo(fileName,size_t(cacheSize)*size_t(1024*1024));
/* Create the output file name: */
std::string normalFileName=fileName;
normalFileName.push_back('/');
normalFileName.append("Normals");
/* Check which version of the normal calculator to use: */
if(maxNumNeighbors>0)
{
/* Create a fixed-neighborhood normal vector calculation functor: */
if(radius>Scalar(0))
{
NumberRadiusNormalCalculator nc(maxNumNeighbors,radius);
NodeNormalCalculator<NumberRadiusNormalCalculator> nodeNormalCalculator(lpo,nc,normalFileName.c_str(),numThreads);
/* Enable saving of outliers if requested: */
if(outlierFileName!=0)
nodeNormalCalculator.saveOutlierPoints(outlierFileName);
/* Calculate normal vectors for all points in the octree: */
std::cout<<"Calculating normal vectors... 0%"<<std::flush;
lpo.processNodesPostfix(nodeNormalCalculator);
std::cout<<std::endl;
}
else
{
NumberRadiusNormalCalculator nc(maxNumNeighbors);
NodeNormalCalculator<NumberRadiusNormalCalculator> nodeNormalCalculator(lpo,nc,normalFileName.c_str(),numThreads);
/* Enable saving of outliers if requested: */
if(outlierFileName!=0)
nodeNormalCalculator.saveOutlierPoints(outlierFileName);
/* Calculate normal vectors for all points in the octree: */
std::cout<<"Calculating normal vectors... 0%"<<std::flush;
lpo.processNodesPostfix(nodeNormalCalculator);
std::cout<<std::endl;
}
}
else
{
/* Create a fixed-radius normal vector calculation functor: */
RadiusNormalCalculator nc(radius);
NodeNormalCalculator<RadiusNormalCalculator> nodeNormalCalculator(lpo,nc,normalFileName.c_str(),numThreads);
/* Enable saving of outliers if requested: */
if(outlierFileName!=0)
nodeNormalCalculator.saveOutlierPoints(outlierFileName);
/* Calculate normal vectors for all points in the octree: */
std::cout<<"Calculating normal vectors... 0%"<<std::flush;
lpo.processNodesPostfix(nodeNormalCalculator);
std::cout<<std::endl;
}
return 0;
}