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132 lines
3.7 KiB
132 lines
3.7 KiB
/*********************************************************************** |
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* Software License Agreement (BSD License) |
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* |
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* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. |
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* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. |
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* |
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* THE BSD LICENSE |
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* |
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* Redistribution and use in source and binary forms, with or without |
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* modification, are permitted provided that the following conditions |
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* are met: |
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* |
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* 1. Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* 2. Redistributions in binary form must reproduce the above copyright |
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* notice, this list of conditions and the following disclaimer in the |
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* documentation and/or other materials provided with the distribution. |
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* |
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR |
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES |
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. |
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, |
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT |
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF |
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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*************************************************************************/ |
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#ifndef OPENCV_FLANN_LINEAR_INDEX_H_ |
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#define OPENCV_FLANN_LINEAR_INDEX_H_ |
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#include "general.h" |
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#include "nn_index.h" |
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namespace cvflann |
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{ |
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struct LinearIndexParams : public IndexParams |
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{ |
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LinearIndexParams() |
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{ |
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(* this)["algorithm"] = FLANN_INDEX_LINEAR; |
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} |
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}; |
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template <typename Distance> |
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class LinearIndex : public NNIndex<Distance> |
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{ |
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public: |
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typedef typename Distance::ElementType ElementType; |
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typedef typename Distance::ResultType DistanceType; |
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LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(), |
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Distance d = Distance()) : |
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dataset_(inputData), index_params_(params), distance_(d) |
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{ |
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} |
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LinearIndex(const LinearIndex&); |
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LinearIndex& operator=(const LinearIndex&); |
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flann_algorithm_t getType() const CV_OVERRIDE |
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{ |
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return FLANN_INDEX_LINEAR; |
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} |
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size_t size() const CV_OVERRIDE |
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{ |
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return dataset_.rows; |
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} |
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size_t veclen() const CV_OVERRIDE |
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{ |
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return dataset_.cols; |
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} |
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int usedMemory() const CV_OVERRIDE |
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{ |
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return 0; |
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} |
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void buildIndex() CV_OVERRIDE |
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{ |
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/* nothing to do here for linear search */ |
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} |
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void saveIndex(FILE*) CV_OVERRIDE |
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{ |
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/* nothing to do here for linear search */ |
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} |
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void loadIndex(FILE*) CV_OVERRIDE |
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{ |
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/* nothing to do here for linear search */ |
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index_params_["algorithm"] = getType(); |
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} |
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void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/) CV_OVERRIDE |
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{ |
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ElementType* data = dataset_.data; |
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for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) { |
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DistanceType dist = distance_(data, vec, dataset_.cols); |
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resultSet.addPoint(dist, (int)i); |
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} |
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} |
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IndexParams getParameters() const CV_OVERRIDE |
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{ |
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return index_params_; |
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} |
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private: |
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/** The dataset */ |
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const Matrix<ElementType> dataset_; |
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/** Index parameters */ |
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IndexParams index_params_; |
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/** Index distance */ |
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Distance distance_; |
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}; |
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} |
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#endif // OPENCV_FLANN_LINEAR_INDEX_H_
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