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/***********************************************************************
* Software License Agreement (BSD License)
*
* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*************************************************************************/
#ifndef _OPENCV_ALL_INDICES_H_
#define _OPENCV_ALL_INDICES_H_
#include "opencv2/flann/general.h"
#include "opencv2/flann/nn_index.h"
#include "opencv2/flann/kdtree_index.h"
#include "opencv2/flann/kmeans_index.h"
#include "opencv2/flann/composite_index.h"
#include "opencv2/flann/linear_index.h"
#include "opencv2/flann/autotuned_index.h"
namespace cvflann
{
template<typename T>
NNIndex<T>* create_index_by_type(const Matrix<T>& dataset, const IndexParams& params)
{
flann_algorithm_t index_type = params.getIndexType();
NNIndex<T>* nnIndex;
switch (index_type) {
case LINEAR:
nnIndex = new LinearIndex<T>(dataset, (const LinearIndexParams&)params);
break;
case KDTREE:
nnIndex = new KDTreeIndex<T>(dataset, (const KDTreeIndexParams&)params);
break;
case KMEANS:
nnIndex = new KMeansIndex<T>(dataset, (const KMeansIndexParams&)params);
break;
case COMPOSITE:
nnIndex = new CompositeIndex<T>(dataset, (const CompositeIndexParams&) params);
break;
case AUTOTUNED:
nnIndex = new AutotunedIndex<T>(dataset, (const AutotunedIndexParams&) params);
break;
default:
throw FLANNException("Unknown index type");
}
return nnIndex;
}
} //namespace cvflann
#endif /* _OPENCV_ALL_INDICES_H_ */