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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.
 
-  *
 
-  * THE BSD LICENSE
 
-  *
 
-  * 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,
 
-  * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
 
-  * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
 
-  * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
 
-  * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 
-  * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
 
-  * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-  *************************************************************************/
 
- #ifndef OPENCV_FLANN_LINEAR_INDEX_H_
 
- #define OPENCV_FLANN_LINEAR_INDEX_H_
 
- #include "general.h"
 
- #include "nn_index.h"
 
- namespace cvflann
 
- {
 
- struct LinearIndexParams : public IndexParams
 
- {
 
-     LinearIndexParams()
 
-     {
 
-         (* this)["algorithm"] = FLANN_INDEX_LINEAR;
 
-     }
 
- };
 
- template <typename Distance>
 
- class LinearIndex : public NNIndex<Distance>
 
- {
 
- public:
 
-     typedef typename Distance::ElementType ElementType;
 
-     typedef typename Distance::ResultType DistanceType;
 
-     LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(),
 
-                 Distance d = Distance()) :
 
-         dataset_(inputData), index_params_(params), distance_(d)
 
-     {
 
-     }
 
-     LinearIndex(const LinearIndex&);
 
-     LinearIndex& operator=(const LinearIndex&);
 
-     flann_algorithm_t getType() const
 
-     {
 
-         return FLANN_INDEX_LINEAR;
 
-     }
 
-     size_t size() const
 
-     {
 
-         return dataset_.rows;
 
-     }
 
-     size_t veclen() const
 
-     {
 
-         return dataset_.cols;
 
-     }
 
-     int usedMemory() const
 
-     {
 
-         return 0;
 
-     }
 
-     void buildIndex()
 
-     {
 
-         /* nothing to do here for linear search */
 
-     }
 
-     void saveIndex(FILE*)
 
-     {
 
-         /* nothing to do here for linear search */
 
-     }
 
-     void loadIndex(FILE*)
 
-     {
 
-         /* nothing to do here for linear search */
 
-         index_params_["algorithm"] = getType();
 
-     }
 
-     void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/)
 
-     {
 
-         ElementType* data = dataset_.data;
 
-         for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) {
 
-             DistanceType dist = distance_(data, vec, dataset_.cols);
 
-             resultSet.addPoint(dist, (int)i);
 
-         }
 
-     }
 
-     IndexParams getParameters() const
 
-     {
 
-         return index_params_;
 
-     }
 
- private:
 
-     /** The dataset */
 
-     const Matrix<ElementType> dataset_;
 
-     /** Index parameters */
 
-     IndexParams index_params_;
 
-     /** Index distance */
 
-     Distance distance_;
 
- };
 
- }
 
- #endif // OPENCV_FLANN_LINEAR_INDEX_H_
 
 
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