/*********************************************************************** * 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 LINEARSEARCH_H #define LINEARSEARCH_H #include "flann/general.h" #include "flann/algorithms/nn_index.h" namespace flann { struct LinearIndexParams : public IndexParams { LinearIndexParams() : IndexParams(FLANN_INDEX_LINEAR) {}; void fromParameters(const FLANNParameters& p) { assert(p.algorithm==algorithm); } void toParameters(FLANNParameters& p) const { p.algorithm = algorithm; } void print() const { logger.info("Index type: %d\n",(int)algorithm); } }; template class LinearIndex : public NNIndex { typedef typename Distance::ElementType ElementType; typedef typename Distance::ResultType DistanceType; const Matrix dataset; const LinearIndexParams index_params; Distance distance; public: LinearIndex(const Matrix& inputData, const LinearIndexParams& params = LinearIndexParams(), Distance d = Distance()) : dataset(inputData), index_params(params), distance(d) { } 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* stream) { /* nothing to do here for linear search */ } void loadIndex(FILE* stream) { /* nothing to do here for linear search */ } void findNeighbors(ResultSet& resultSet, const ElementType* vec, const SearchParams& searchParams) { for (size_t i=0;i