/*********************************************************************** * 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 class LinearIndex : public NNIndex { public: typedef typename Distance::ElementType ElementType; typedef typename Distance::ResultType DistanceType; LinearIndex(const Matrix& 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& 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 dataset_; /** Index parameters */ IndexParams index_params_; /** Index distance */ Distance distance_; }; } #endif // OPENCV_FLANN_LINEAR_INDEX_H_