123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132 |
- /***********************************************************************
- * 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 CV_OVERRIDE
- {
- return FLANN_INDEX_LINEAR;
- }
- size_t size() const CV_OVERRIDE
- {
- return dataset_.rows;
- }
- size_t veclen() const CV_OVERRIDE
- {
- return dataset_.cols;
- }
- int usedMemory() const CV_OVERRIDE
- {
- return 0;
- }
- void buildIndex() CV_OVERRIDE
- {
- /* nothing to do here for linear search */
- }
- void saveIndex(FILE*) CV_OVERRIDE
- {
- /* nothing to do here for linear search */
- }
- void loadIndex(FILE*) CV_OVERRIDE
- {
- /* nothing to do here for linear search */
- index_params_["algorithm"] = getType();
- }
- void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/) CV_OVERRIDE
- {
- 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 CV_OVERRIDE
- {
- 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_
|