along/secondo
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
dfd1e745480fabd88139d2804acb90d5b6dc055e
secondo/Algebras/GeneralTree/DistfunReg.cpp

1090 lines
28 KiB
C++
Raw Normal View History

firs commit
2026-01-23 17:03:45 +08:00
/*
----
This file is part of SECONDO.
Copyright (C) 2004, University in Hagen, Department of Computer Science,
Database Systems for New Applications.
SECONDO is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
SECONDO is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with SECONDO; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
----
//[_] [\_]
//characters [1] verbatim: [$] [$]
//characters [2] formula: [$] [$]
//characters [3] capital: [\textsc{] [}]
//characters [4] teletype: [\texttt{] [}]
1 Implementation file "DistfunReg.cpp"[4]
January-May 2008, Mirko Dibbert
*/
#include <sstream>
#include "DistfunReg.h"
#include "GTA_SpatialAttr.h"
#include "Algebras/Spatial/Coord.h"
#include "Algebras/Spatial/Point.h"
#include "Algebras/Spatial/SpatialAlgebra.h"
#include "Algebras/Temporal/TemporalAlgebra.h"
#include "Algebras/SymbolicTrajectory/Algorithms.h"
#include "PictureFuns.h"
#ifndef NO_MP3
//---------------cru----------------
#include "Algebras/MP3b/FVector.h"
//----------------------------------
#endif
#ifndef NO_IMAGESIMILARITY
#include "../ImageSimilarity/JPEGImage.h"
#include "../ImageSimilarity/ImageSimilarityAlgebra.h"
#include <vector>
#include <math.h>
#include <iostream>
#include "ImageSimFuns.h"
#include "ImageSimFuns2.h"
#include <chrono>
#endif
using namespace gta;
using namespace std;
/*
Initialize static members:
*/
bool DistfunReg::initialized = false;
bool DistfunReg::distfunsShown = false;
map<string, string> DistfunReg::defaultNames;
DistfunInfo DistfunReg::defaultInfo;
map<string, DistfunInfo> DistfunReg::distfunInfos;
/*
Default constructor for the ~DistfunInfo~ class:
*/
DistfunInfo::DistfunInfo()
: m_name("undef"), m_descr("undef"), m_distfun(0),
m_distdataInfo(), m_flags(0)
{}
/*
Constructor for the ~DistfunInfo~ class:
*/
DistfunInfo::DistfunInfo(
const string &name, const string &descr,
const Distfun distfun, DistDataInfo distdataInfo,
char flags)
: m_name(name), m_descr(descr), m_distfun(distfun),
m_distdataInfo(distdataInfo), m_flags(DFUN_IS_DEFINED | flags)
{}
/*
Method ~DistfunReg::addInfo~:
*/
void DistfunReg::addInfo(DistfunInfo info)
{
ostringstream osId;
osId << info.data().algebraId() << "#"
<< info.data().typeId() << "#"
<< info.name() << "#"
<< info.data().distdataId();
distfunInfos [osId.str()] = info;
if (info.isDefault())
{
assert(info.data().isDefined());
defaultNames[info.data().typeName()] = info.name();
DistDataReg::defaultNames[info.data().typeName()] =
info.data().name();
}
}
/*
Method ~DistfunReg::defaultName~:
*/
string DistfunReg::defaultName(const string &typeName)
{
if(!initialized)
initialize();
map<string, string>::iterator iter =
defaultNames.find(typeName);
if (iter == defaultNames.end())
return DFUN_UNDEFINED;
else
return iter->second;
}
/*
Method ~DistfunReg::getInfo~:
*/
DistfunInfo &DistfunReg::getInfo(
const string &distfunName, DistDataId id)
{
if(!initialized)
initialize();
ostringstream osId;
if (!id.isDefined())
return defaultInfo;
if (distfunName == DFUN_DEFAULT)
{
string typeName = id.typeName();
osId << id.algebraId() << "#" << id.typeId() << "#"
<< defaultName(typeName) << "#" << id.distdataId();
}
else
{
osId << id.algebraId() << "#" << id.typeId() << "#"
<< distfunName << "#" << id.distdataId();
}
distfunIter iter2 = distfunInfos.find(osId.str());
if (iter2 != distfunInfos.end())
return iter2->second;
else
return defaultInfo;
}
/*
Method ~DistfunReg::definedNames~:
*/
string DistfunReg::definedNames(const string &typeName)
{
if(!initialized)
initialize();
// search first info object for typeName
distfunIter iter = distfunInfos.begin();
while ((iter != distfunInfos.end()) &&
(iter->second.data().typeName() != typeName))
{
++iter;
}
// process all info objects for typeName
ostringstream result;
while ((iter != distfunInfos.end()) &&
(iter->second.data().typeName() == typeName))
{
result << "\"" << iter->second.name() << "\""
<< "(accepted data type(s): ";
string curName = iter->second.name();
while ((iter != distfunInfos.end()) &&
(iter->second.data().typeName() == typeName) &&
(iter->second.name() == curName))
{
result << "\"" << iter->second.data().name() << "\"";
++iter;
if ((iter != distfunInfos.end()) &&
(iter->second.data().typeName() == typeName) &&
(iter->second.name() == curName))
result << ", ";
}
result << ")";
if ((iter != distfunInfos.end()) &&
(iter->second.data().typeName() == typeName))
{
result << endl << endl;
}
}
return result.str();
}
/*
Method ~DistfunReg::getInfoList~:
*/
void DistfunReg::getInfoList(list<DistfunInfo>& result)
{
if(!initialized)
initialize();
distfunIter iter = distfunInfos.begin();
while(iter != distfunInfos.end())
{
result.push_back(iter->second);
++iter;
}
}
/*
Method ~DistfunReg::printDistfuns~:
*/
string DistfunReg::printDistfuns()
{
if(!initialized)
initialize();
ostringstream result;
const string seperator = "\n" + string(70, '-') + "\n";
result << endl << "Defined distance functions:"
<< seperator;
list<DistfunInfo> distfunInfos;
DistfunReg::getInfoList(distfunInfos);
list<DistfunInfo>::iterator iter = distfunInfos.begin();
while(iter != distfunInfos.end())
{
result << "name : "
<< iter->name() << endl
<< "description : "
<< iter->descr() << endl
<< "type constructor : "
<< iter->data().typeName() << endl
<< "accepted distdata: ";
string curName = iter->name();
string curType = iter->data().typeName();
while ((iter != distfunInfos.end()) &&
(iter->name() == curName) &&
(iter->data().typeName() == curType))
{
result << iter->data().name();
++iter;
if ((iter != distfunInfos.end()) &&
(iter->name() == curName) &&
(iter->data().typeName() == curType))
result << ", ";
}
result << seperator;
}
result << endl;
return result.str();
}
/********************************************************************
Implementation of distance functions:
********************************************************************/
/*
Method ~DistfunReg::EuclideanInt~:
*/
void DistfunReg::EuclideanInt(
const DistData *data1, const DistData *data2,
double &result)
{
int val1 = *static_cast<const int*>(data1->value());
int val2 = *static_cast<const int*>(data2->value());
result = abs(val1 - val2);
}
/*
Method ~DistfunReg::EuclideanReal~:
*/
void DistfunReg::EuclideanReal(
const DistData *data1, const DistData *data2,
double &result)
{
SEC_STD_REAL val1 =
*static_cast<const SEC_STD_REAL*>(data1->value());
SEC_STD_REAL val2 =
*static_cast<const SEC_STD_REAL*>(data2->value());
result = abs(val1 - val2);
}
void DistfunReg::euclidPoint(
const DistData *data1, const DistData *data2,
double &result) {
// handle undefined values
if(data1->size()==0 && data2->size()==0){
result = 0;
return ;
}
if(data1->size()==0 || data2->size()==0){
result = numeric_limits<double>::max();
return;
}
Coord x1;
Coord y1;
memcpy(&x1, data1->value(), sizeof(Coord));
memcpy(&y1, (char*) data1->value() + sizeof(Coord), sizeof(Coord));
Coord x2;
Coord y2;
memcpy(&x2, data2->value(), sizeof(Coord));
memcpy(&y2, (char*) data2->value() + sizeof(Coord), sizeof(Coord));
result = std::sqrt((x1-x2)*(x1-x2) + (y1-y2)*(y1-y2));
}
/*
Method specialPoints.
*/
void DistfunReg::specialPoints(
const DistData *data1, const DistData *data2,
double &result)
{
if(data1->size()==1 && data2->size() == 1){
result = 0;
}
size_t n1 = data1->size();
size_t n2 = data2->size();
size_t o1 = 0; // offset in value1
size_t o2 = 0;
result = 0;
while(o1<n1 && o2<n2){
Coord x1;
Coord x2;
memcpy(&x1, (char*)data1->value() + o1, sizeof(Coord));
memcpy(&x2, (char*)data2->value() +o2, sizeof(Coord));
if(AlmostEqual(x1,x2)){
o1 += sizeof(Coord);
o2 += sizeof(Coord);
Coord y1;
Coord y2;
memcpy(&y1,(char*)data1->value() + o1, sizeof(Coord));
memcpy(&y2,(char*)data2->value() + o2, sizeof(Coord));
result += abs(y1-y2);
o1 += sizeof(Coord);
o2 += sizeof(Coord);
} else if(x1<x2) {
o1 += sizeof(Coord);
Coord y1;
memcpy(&y1,(char*)data1->value() + o1, sizeof(Coord));
result += abs(y1);
o1 += sizeof(Coord);
} else {
o2 += sizeof(Coord);
Coord y2;
memcpy(&y2,(char*)data2->value() + o2, sizeof(Coord));
result += abs(y2);
o1 += sizeof(Coord);
o2 += sizeof(Coord);
}
}
while(o1<n1){
o1 += sizeof(Coord); // overread x
Coord y1;
memcpy(&y1,(char*)data1->value() + o1, sizeof(Coord));
result += abs(y1);
o1 += sizeof(Coord);
}
while(o2<n2){
o2 += sizeof(Coord);
Coord y2;
memcpy(&y2,(char*)data2->value() + o2, sizeof(Coord));
result += abs(y2);
o1 += sizeof(Coord);
o2 += sizeof(Coord);
}
}
/*
Method ~DistfunReg::EuclideanHPoint~:
*/
void DistfunReg::EuclideanHPoint(
const DistData *data1, const DistData *data2,
double &result)
{
result = 0.0;
const char *buf1 = static_cast<const char*>(data1->value());
const char *buf2 = static_cast<const char*>(data2->value());
// extract dimensions and check for equality
unsigned dim1, dim2;
memcpy(&dim1, buf1, sizeof(unsigned));
memcpy(&dim2, buf2, sizeof(unsigned));
if (dim1 != dim2)
{
cmsg.error()
<< "Tried to compute Euclidean distance between hpoints "
<< "of different dimensions!" << endl;
cmsg.send();
return;
}
// extract coordinate vectors
const GTA_SPATIAL_DOM *coords1 =
reinterpret_cast<const GTA_SPATIAL_DOM*>(
buf1 + sizeof(unsigned));
const GTA_SPATIAL_DOM *coords2 =
reinterpret_cast<const GTA_SPATIAL_DOM*>(
buf2 + sizeof(unsigned));
// compute eucledean distance
for (unsigned i = 0; i < dim1; ++i)
result += std::pow(abs (coords1[i] - coords2[i]), 2);
result = sqrt(result);
}
/*
Method ~DistfunReg::EditDistance~ :
*/
void DistfunReg::EditDistance(
const DistData *data1, const DistData *data2,
double &result)
{
const char *str1 = static_cast<const char*>(data1->value());
const char *str2 = static_cast<const char*>(data2->value());
int len1 = static_cast<const DistData*>(data1)->size();
int len2 = static_cast<const DistData*>(data2)->size();
int d[len1 + 1][len2 + 1];
int dist;
// init row 1 with
for (int i = 0; i <= len1; ++i)
d[i][0] = i;
// init col 1
for (int j = 1; j <= len2; ++j)
d[0][j] = j;
// compute array getValues
for (int i = 1; i <= len1; ++i)
{
for (int j = 1; j <= len2; ++j)
{
if (str1[i - 1] == str2[j - 1])
dist = 0;
else
dist = 1;
// d(i,j) = min{ d(i-1 , j ) + 1,
// d(i , j-1) + 1,
// d(i-1 , j-1) + dist }
d[i][j] = min(d[i - 1][j] + 1,
min((d[i][j - 1]) + 1,
d[i - 1][j - 1] + dist));
}
}
result = (double) d[len1][len2];
}
/*
Function ~DistfunReg::MPointDistanceAvg~
*/
void DistfunReg::MPointDistanceAvg(const DistData *data1, const DistData *data2,
double &result) {
if (data1->size() == 0 && data2->size() == 0) {
result = 0;
}
if (data1->size() == 0 || data2->size() == 0){
result = numeric_limits<double>::max();
}
temporalalgebra::MPoint mp1(true), mp2(true);
datetime::DateTime duration(0, 3600000, datetime::durationtype);
mp1.deserialize((const char*)data1->value());
mp2.deserialize((const char*)data2->value());
result = temporalalgebra::DistanceComputation<temporalalgebra::MPoint,
temporalalgebra::UPoint>::DistanceAvg(mp1, mp2, duration, true);
}
/*
Method ~DistfunReg::symTrajDistance1~ :
*/
template<class M>
void DistfunReg::symTrajDistance1(const DistData *data1, const DistData *data2,
double &result) {
if (data1->size() == 0 && data2->size() == 0) {
result = 0;
}
if (data1->size() == 0 || data2->size() == 0){
result = numeric_limits<double>::max();
}
M traj1, traj2;
traj1.deserialize((const char*)data1->value());
traj2.deserialize((const char*)data2->value());
result = traj1.Distance(traj2);
}
/*
Function ~DistfunReg::tupleDistance~
*/
void DistfunReg::tupleDistance(const DistData *data1, const DistData *data2,
double &result) {
if (data1->size() == 0 && data2->size() == 0) {
result = 0.0;
}
if (data1->size() == 0 || data2->size() == 0){
result = numeric_limits<double>::max();
}
// Tuple *tuple1, *tuple2;
// traj1.deserialize((const char*)data1->value());
// traj2.deserialize((const char*)data2->value());
// result = tuple1->DistanceIntegral(*tuple2);
result = 1.0;
}
#ifndef NO_MP3
//------------cru--------------------------
/*
Method ~DistfunReg::euclidFVector~:
*/
void DistfunReg::euclidFVector(
const DistData *data1, const DistData *data2,
double &result) {
// handle undefined values
if (data1->size()==0 && data2->size()==0){
result = 0;
return;
}
if (data1->size()==0 || data2->size()==0) {
result = numeric_limits<double>::max();
return;
}
// calculate distance
size_t dim = data1->size()/sizeof(double);
double x,y;
result=0;
for (unsigned int i=0; i<dim; i++){
memcpy(&x, (char*)data1->value()+i*sizeof(double), sizeof(double));
memcpy(&y, (char*)data2->value()+i*sizeof(double), sizeof(double));
result+=(x-y)*(x-y);
}
result= sqrt(result);
}
//------------------------------------------
#endif
/*
Method ~DistfunReg::sqfdImageSignature~:
*/
#ifndef NO_IMAGESIMILARITY
void DistfunReg::sqfdFeatureSignature(
const DistData* data1,
const DistData* data2,
double &result)
{
//std::cout << "entered distance fun" << std::endl;
if(data1->size() == 0 && data2->size() == 0)
{
result = 0;
return ;
}
if (data1->size() == 0 || data2->size() == 0)
{
result = numeric_limits<double>::max();
return;
}
std::vector<FeatureSignatureTuple> fst1;
std::vector<FeatureSignatureTuple> fst2;
//unsigned int d = 0;
size_t o1 = 0;
//std::cout << "parameter 1" << std::endl;
while (o1 < data1->size())
{
FeatureSignatureTuple fst;
memcpy(&fst,(char*)data1->value() + o1, sizeof(FeatureSignatureTuple));
o1 += sizeof(FeatureSignatureTuple);
fst1.push_back(fst);
}
size_t o2 = 0;
while (o2 < data2->size())
{
FeatureSignatureTuple fst;
memcpy(&fst,(char*)data2->value() + o2, sizeof(FeatureSignatureTuple));
o2 += sizeof(FeatureSignatureTuple);
fst2.push_back(fst);
}
/*
while (o1 < data1->size())
{
double weight;
int x, y;
double r, g, b;
double coa, con;
memcpy(&weight,(char*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
memcpy(&x,(char*)data1->value() + o1, sizeof(int));
o1 += sizeof(int);
memcpy(&y,(char*)data1->value() + o1, sizeof(int));
o1 += sizeof(int);
memcpy(&r,(double*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
memcpy(&g,(char*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
memcpy(&b,(char*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
memcpy(&coa,(double*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
memcpy(&con,(char*)data1->value() + o1, sizeof(double));
o1 += sizeof(double);
FeatureSignatureTuple fst = {weight, x, y, r, g, b, coa, con};
std::cout << fst.weight << " " << fst.centroid.x
<< " " << fst.centroid.y << " "
<< fst.centroid.colorValue1
<< " "
<< fst.centroid.colorValue2
<< " " << fst.centroid.colorValue3
<< " " << fst.centroid.coarseness << " "
<< fst.centroid.contrast << std::endl;
fst1.push_back(fst);
//d += o1;
}
*/
// std::cout << "data1 size: " << data1->size() << " o1:" << o1 << std::endl;
// std::cout << "parameter 2" << std::endl;
/*
size_t o2 = 0;
while (o2 < data2->size())
{
double weight;
int x, y;
double r, g, b;
double coa, con;
memcpy(&weight,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
memcpy(&x,(char*)data2->value() + o2, sizeof(int));
o2 += sizeof(int);
memcpy(&y,(char*)data2->value() + o2, sizeof(int));
o2 += sizeof(int);
memcpy(&r,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
memcpy(&g,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
memcpy(&b,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
memcpy(&coa,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
memcpy(&con,(char*)data2->value() + o2, sizeof(double));
o2 += sizeof(double);
FeatureSignatureTuple fst = {weight, x, y, r, g, b, coa, con};
std::cout << fst.weight << " " << fst.centroid.x
<< " " << fst.centroid.y << " " << fst.centroid.colorValue1 << " "
<< fst.centroid.colorValue2 << " " << fst.centroid.colorValue3
<< " " << fst.centroid.coarseness << " "
<< fst.centroid.contrast << std::endl;
fst2.push_back(fst);
//d += o2;
}
*/
//std::cout << "data2 size: " << data2->size() << " o2:" << o2 << std::endl;
int width = fst1.size() + fst2.size();
// build up weight vector
long* arr1 = new long[width];
for (unsigned int i = 0; i < fst1.size(); i++)
{
//arr1[i] = fst1.at(i).weight;
arr1[i] = round(fst1.at(i).weight * 100000);
}
for (int i = fst1.size(); i < width; i++)
{
arr1[i] = -round(fst2.at(i - fst1.size()).weight * 100000);
}
// init distance matrix
long** mat = new long*[width];
for (int i = 0; i < width; i++)
mat[i] = new long[width];
// fill vector with features to be compared
std::vector<FeatureSignatureTuple> ist;
for (auto i : fst1)
ist.push_back(i);
for (auto i: fst2)
ist.push_back(i);
// calculate distance matrix
//std::cout << "distance matrix:" << std::endl;
for (int y = 0; y < width; y++)
{
for (int x = 0; x < width; x++)
{
double tmpDist = f_s(ist.at(y), ist.at(x));
//mat[y][x] = tmpDist;
//mat[y][x] = floor(tmpDist / scale + 0.5) * scale;
mat[y][x] = round(tmpDist * 100000);
//std::cout << mat[y][x] << "|";
}
//std::cout << std::endl;
}
// init temporary matrix (weight vector * mat)
long* resMat = new long[width];
for (int x = 0; x < width; x++)
{
resMat[x] = 0.0;
}
// multiply weight vector with dist matrix
for (int x = 0; x < width; x++)
{
for (int y = 0; y < width; y++)
{
//double tmpProduct = std::abs(arr1[y]) * std::abs(mat[y][x]);
//if (arr1[y] < 0.0 || mat[y][x] < 0.0)
// tmpProduct = -tmpProduct;
//resMat[x] += tmpProduct;
double tmp = std::abs(arr1[y]) * std::abs(mat[y][x]);
if (!(arr1[y] > 0 && mat[y][x] > 0))
{
tmp = -tmp;
}
resMat[x] += tmp; //arr1[y] * mat[y][x];
}
//std::cout << std::endl;
}
// multiply temporary matrix with transposed weight vector
//
long distance = 0;
for (int x = 0; x < width; x++)
{
//double tmpProduct = std::abs(resMat[x]) * std::abs(arr1[x]);
//if (resMat[x] < 0.0 || arr1[x] < 0.0)
// tmpProduct = -tmpProduct;
distance += resMat[x] * arr1[x];
//distance += (long)round(tmpProduct);
}
delete[] resMat;
for (int i = 0; i < width; i++)
delete [] mat[i];
delete[] mat;
delete[] arr1;
// return square root
result = sqrt(distance/100000);
//std::cout << "result:" << result << std::endl;
return;
}
/*
Earth Mover's distance function for FeatureSignatures
*/
void DistfunReg::emdFeatureSignature(
const DistData* data1,
const DistData* data2,
double &result)
{
if(data1->size() == 0 && data2->size() == 0)
{
result = 0;
return ;
}
if(data1->size() == 0 || data2->size() == 0)
{
result = numeric_limits<double>::max();
return;
}
std::vector<FeatureSignatureTuple> fst1;
std::vector<FeatureSignatureTuple> fst2;
size_t o1 = 0;
while (o1 < data1->size())
{
FeatureSignatureTuple fst;
memcpy(&fst,(char*)data1->value() + o1, sizeof(FeatureSignatureTuple));
o1 += sizeof(FeatureSignatureTuple);
fst1.push_back(fst);
}
size_t o2 = 0;
while (o2 < data2->size())
{
FeatureSignatureTuple fst;
memcpy(&fst,(char*)data2->value() + o2, sizeof(FeatureSignatureTuple));
o2 += sizeof(FeatureSignatureTuple);
fst2.push_back(fst);
}
TransportProblem tp;
tp.initialVAM(fst1, fst2);
const int maxIterations = 50; // how often does the algorithm cycle
int actualIterations = 0; // just a counter
tp.basicsError = false;
for (int i = 0; i < maxIterations; i++)
{
actualIterations++;
if (tp.currentDistance == 0)
{
break;
}
try
{
tp.calcShadowCosts();
tp.visitedShadowCosts = true;
if (tp.enteringCell.val > -1)
{
break; // solution is already optimal
}
tp.visitedSteppingStones = true;
tp.findSteppingStones();
if (!tp.basicsError)
{
tp.visitedUpdateSolution = true;
tp.updateSolution();
}
else
{
break;
}
}
catch (std::exception& e)
{
std::cout << e.what() << '\n';
}
if (tp.currentDistance > tp.newDistance)
{
tp.currentDistance = tp.newDistance;
}
else
{
break; // end here currentDistance is the smallest distance
}
}
result = tp.currentDistance;
return;
}
#endif
/********************************************************************
Method ~DistfunReg::initialize~:
All avaliable distance functions must be registered in this method by calling the "addInfo"[4] method whith the respective "DistfunInfo" object. The parameter of the "DistfunInfo"[4] constructor have the following meaning:
1 name of the distance function
2 description of the distance function
3 pointer to the distance function
4 info obect of the assigned distdata type
5 flags (optional)
The following flags could be set:
* "DFUN[_]IS[_]DEFAULT"[4]\\
uses the distance function as default for the resp. type constructor
* "FUN[_]IS[_]METRIC"[4]\\
indicates, that the distance function is a metric
If more than one distance function for a specific type constructer has been defined as default, the last registered one will be used as default.
Constants for the name and description for the distance functions are defined in the "DistfunSymbols.h"[4] headerfile.
*/
void DistfunReg::initialize()
{
if (initialized)
return;
DistDataReg::initialize();
addInfo(DistfunInfo(
DFUN_EUCLID, DFUN_EUCLID_DESCR,
EuclideanInt,
DistDataReg::getInfo(CcInt::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_EUCLID, DFUN_EUCLID_DESCR,
EuclideanReal,
DistDataReg::getInfo(CcReal::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_EUCLID, DFUN_EUCLID_DESCR,
euclidPoint,
DistDataReg::getInfo(Point::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_SPECIALPOINTS, DFUN_SPECIALPOINTS_DESCR,
specialPoints,
DistDataReg::getInfo(Points::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_EUCLID, DFUN_EUCLID_DESCR,
EuclideanHPoint,
DistDataReg::getInfo("hpoint", DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_EDIT_DIST, DFUN_EDIT_DIST_DESCR,
EditDistance,
DistDataReg::getInfo(CcString::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_MPOINT_DISTAVG, DFUN_MPOINT_DISTAVG_DESCR,
MPointDistanceAvg,
DistDataReg::getInfo(temporalalgebra::MPoint::BasicType(),
DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
// addInfo(DistfunInfo(
// DFUN_SYMTRAJ_DIST1, DFUN_SYMTRAJ_DIST1_DESCR,
// symTrajDistance1<stj::MLabel>,
// DistDataReg::getInfo(stj::MLabel::BasicType(), DDATA_NATIVE),
// DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_SYMTRAJ_DIST1, DFUN_SYMTRAJ_DIST1_DESCR,
symTrajDistance1<stj::MLabels>,
DistDataReg::getInfo(stj::MLabels::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
// addInfo(DistfunInfo(
// DFUN_SYMTRAJ_DIST1, DFUN_SYMTRAJ_DIST1_DESCR,
// symTrajDistance1<stj::MPlace>,
// DistDataReg::getInfo(stj::MPlace::BasicType(), DDATA_NATIVE),
// DFUN_IS_METRIC | DFUN_IS_DEFAULT));
//
// addInfo(DistfunInfo(
// DFUN_SYMTRAJ_DIST1, DFUN_SYMTRAJ_DIST1_DESCR,
// symTrajDistance1<stj::MPlaces>,
// DistDataReg::getInfo(stj::MPlaces::BasicType(), DDATA_NATIVE),
// DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_TUPLE_DIST1, DFUN_TUPLE_DIST1_DESCR,
tupleDistance,
DistDataReg::getInfo(Tuple::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFINED));
#ifndef NO_MP3
//----------------------cru--------------------------
addInfo(DistfunInfo(
DFUN_EUCLID, DFUN_EUCLID_DESCR,
euclidFVector,
DistDataReg::getInfo(FVector::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
//---------------------------------------------------
#endif
#ifndef NO_IMAGESIMILARITY
addInfo(DistfunInfo(
DFUN_SQFD, DFUN_SQFD_DESCR,
sqfdFeatureSignature,
DistDataReg::getInfo(
FeatureSignaturealg::
FeatureSignature::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
addInfo(DistfunInfo(
DFUN_EMD, DFUN_EMD_DESCR,
emdFeatureSignature,
DistDataReg::getInfo(
FeatureSignaturealg::
FeatureSignature::BasicType(), DDATA_NATIVE),
DFUN_IS_METRIC | DFUN_IS_DEFAULT));
#endif
PictureFuns::initDistfuns();
initialized = true;
}
Reference in New Issue Copy Permalink