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Moved detector and descriptor class factory functions into features2d module

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This commit is contained in:
Victor Erukhimov 2010-06-11 18:44:22 +00:00
parent d7691f6cad
commit c6750a0f45
4 changed files with 95 additions and 81 deletions
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4
modules/features2d/include/opencv2/features2d/features2d.hpp
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@ -1397,6 +1397,7 @@ protected:
SURF surf;
};
CV_EXPORTS FeatureDetector* createDetector( const string& detectorType );
/****************************************************************************************\
* DescriptorExtractor *
@ -1468,6 +1469,8 @@ protected:
SURF surf;
};
DescriptorExtractor* createDescriptorExtractor( const string& descriptorExtractorType );
/****************************************************************************************\
* Distance *
\****************************************************************************************/
@ -1758,6 +1761,7 @@ void BruteForceMatcher<Distance>::matchImpl( const Mat& descriptors_1, const Mat
}
}
DescriptorMatcher* createDescriptorMatcher( const string& descriptorMatcherType );
/****************************************************************************************\
* GenericDescriptorMatch *

46
modules/features2d/src/descriptors.cpp
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@ -42,9 +42,10 @@
#include "precomp.hpp"
using namespace std;
using namespace cv;
namespace cv
{
CV_EXPORTS void cv::drawMatches( const Mat& img1, const Mat& img2,
CV_EXPORTS void drawMatches( const Mat& img1, const Mat& img2,
const vector<KeyPoint>& keypoints1, const vector<KeyPoint>& keypoints2,
const vector<int>& matches, const vector<char>& mask, Mat& outImg,
const Scalar& matchColor, const Scalar& singlePointColor,
@ -221,6 +222,45 @@ void SurfDescriptorExtractor::write( FileStorage &fs ) const
fs << "extended" << surf.extended;
}
DescriptorExtractor* createDescriptorExtractor( const string& descriptorExtractorType )
{
DescriptorExtractor* de = 0;
if( !descriptorExtractorType.compare( "SIFT" ) )
{
de = new SiftDescriptorExtractor/*( double magnification=SIFT::DescriptorParams::GET_DEFAULT_MAGNIFICATION(),
bool isNormalize=true, bool recalculateAngles=true,
int nOctaves=SIFT::CommonParams::DEFAULT_NOCTAVES,
int nOctaveLayers=SIFT::CommonParams::DEFAULT_NOCTAVE_LAYERS,
int firstOctave=SIFT::CommonParams::DEFAULT_FIRST_OCTAVE,
int angleMode=SIFT::CommonParams::FIRST_ANGLE )*/;
}
else if( !descriptorExtractorType.compare( "SURF" ) )
{
de = new SurfDescriptorExtractor/*( int nOctaves=4, int nOctaveLayers=2, bool extended=false )*/;
}
else
{
//CV_Error( CV_StsBadArg, "unsupported descriptor extractor type");
}
return de;
}
DescriptorMatcher* createDescriptorMatcher( const string& descriptorMatcherType )
{
DescriptorMatcher* dm = 0;
if( !descriptorMatcherType.compare( "BruteForce" ) )
{
dm = new BruteForceMatcher<L2<float> >();
}
else
{
//CV_Error( CV_StsBadArg, "unsupported descriptor matcher type");
}
return dm;
}
/****************************************************************************************\
* GenericDescriptorMatch *
\****************************************************************************************/
@ -764,3 +804,5 @@ void FernDescriptorMatch::clear ()
GenericDescriptorMatch::clear();
classifier.release();
}
}

44
modules/features2d/src/detectors.cpp
View File

@ -42,8 +42,9 @@
#include "precomp.hpp"
using namespace std;
using namespace cv;
namespace cv
{
/*
FeatureDetector
*/
@ -314,3 +315,44 @@ void SurfFeatureDetector::detectImpl( const Mat& image, const Mat& mask,
{
surf(image, mask, keypoints);
}
FeatureDetector* createDetector( const string& detectorType )
{
FeatureDetector* fd = 0;
if( !detectorType.compare( "FAST" ) )
{
fd = new FastFeatureDetector( 10/*threshold*/, true/*nonmax_suppression*/ );
}
else if( !detectorType.compare( "STAR" ) )
{
fd = new StarFeatureDetector( 16/*max_size*/, 5/*response_threshold*/, 10/*line_threshold_projected*/,
8/*line_threshold_binarized*/, 5/*suppress_nonmax_size*/ );
}
else if( !detectorType.compare( "SIFT" ) )
{
fd = new SiftFeatureDetector(SIFT::DetectorParams::GET_DEFAULT_THRESHOLD(),
SIFT::DetectorParams::GET_DEFAULT_EDGE_THRESHOLD());
}
else if( !detectorType.compare( "SURF" ) )
{
fd = new SurfFeatureDetector( 100./*hessian_threshold*/, 3 /*octaves*/, 4/*octave_layers*/ );
}
else if( !detectorType.compare( "MSER" ) )
{
fd = new MserFeatureDetector( 5/*delta*/, 60/*min_area*/, 14400/*_max_area*/, 0.25f/*max_variation*/,
0.2/*min_diversity*/, 200/*max_evolution*/, 1.01/*area_threshold*/, 0.003/*min_margin*/,
5/*edge_blur_size*/ );
}
else if( !detectorType.compare( "GFTT" ) )
{
fd = new GoodFeaturesToTrackDetector( 1000/*maxCorners*/, 0.01/*qualityLevel*/, 1./*minDistance*/,
3/*int _blockSize*/, true/*useHarrisDetector*/, 0.04/*k*/ );
}
else
{
//CV_Error( CV_StsBadArg, "unsupported feature detector type");
}
return fd;
}
}

82
samples/cpp/descriptor_extractor_matcher.cpp
View File

@ -1,5 +1,8 @@
#include <cvaux.h>
//#include <cvaux.h>
#include <highgui.h>
#include "opencv2/core/core.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/features2d/features2d.hpp"
#include <iostream>
@ -34,83 +37,6 @@ void warpPerspectiveRand( const Mat& src, Mat& dst, Mat& H, RNG* rng )
warpPerspective( src, dst, H, src.size() );
}
FeatureDetector* createDetector( const string& detectorType )
{
FeatureDetector* fd = 0;
if( !detectorType.compare( "FAST" ) )
{
fd = new FastFeatureDetector( 10/*threshold*/, true/*nonmax_suppression*/ );
}
else if( !detectorType.compare( "STAR" ) )
{
fd = new StarFeatureDetector( 16/*max_size*/, 5/*response_threshold*/, 10/*line_threshold_projected*/,
8/*line_threshold_binarized*/, 5/*suppress_nonmax_size*/ );
}
else if( !detectorType.compare( "SIFT" ) )
{
fd = new SiftFeatureDetector(SIFT::DetectorParams::GET_DEFAULT_THRESHOLD(),
SIFT::DetectorParams::GET_DEFAULT_EDGE_THRESHOLD());
}
else if( !detectorType.compare( "SURF" ) )
{
fd = new SurfFeatureDetector( 100./*hessian_threshold*/, 3 /*octaves*/, 4/*octave_layers*/ );
}
else if( !detectorType.compare( "MSER" ) )
{
fd = new MserFeatureDetector( 5/*delta*/, 60/*min_area*/, 14400/*_max_area*/, 0.25f/*max_variation*/,
0.2/*min_diversity*/, 200/*max_evolution*/, 1.01/*area_threshold*/, 0.003/*min_margin*/,
5/*edge_blur_size*/ );
}
else if( !detectorType.compare( "GFTT" ) )
{
fd = new GoodFeaturesToTrackDetector( 1000/*maxCorners*/, 0.01/*qualityLevel*/, 1./*minDistance*/,
3/*int _blockSize*/, true/*useHarrisDetector*/, 0.04/*k*/ );
}
else
{
//CV_Error( CV_StsBadArg, "unsupported feature detector type");
}
return fd;
}
DescriptorExtractor* createDescriptorExtractor( const string& descriptorExtractorType )
{
DescriptorExtractor* de = 0;
if( !descriptorExtractorType.compare( "SIFT" ) )
{
de = new SiftDescriptorExtractor/*( double magnification=SIFT::DescriptorParams::GET_DEFAULT_MAGNIFICATION(),
bool isNormalize=true, bool recalculateAngles=true,
int nOctaves=SIFT::CommonParams::DEFAULT_NOCTAVES,
int nOctaveLayers=SIFT::CommonParams::DEFAULT_NOCTAVE_LAYERS,
int firstOctave=SIFT::CommonParams::DEFAULT_FIRST_OCTAVE,
int angleMode=SIFT::CommonParams::FIRST_ANGLE )*/;
}
else if( !descriptorExtractorType.compare( "SURF" ) )
{
de = new SurfDescriptorExtractor/*( int nOctaves=4, int nOctaveLayers=2, bool extended=false )*/;
}
else
{
//CV_Error( CV_StsBadArg, "unsupported descriptor extractor type");
}
return de;
}
DescriptorMatcher* createDescriptorMatcher( const string& descriptorMatcherType )
{
DescriptorMatcher* dm = 0;
if( !descriptorMatcherType.compare( "BruteForce" ) )
{
dm = new BruteForceMatcher<L2<float> >();
}
else
{
//CV_Error( CV_StsBadArg, "unsupported descriptor matcher type");
}
return dm;
}
const string winName = "correspondences";
void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,