replaced SIFT implementation (Some default parameters can be changed in the near future)

pull/13383/head
Maria Dimashova 14 years ago
parent 8c0c773bf2
commit 035fd0019b
  1. 21
      modules/features2d/include/opencv2/features2d/features2d.hpp
  2. 61
      modules/features2d/src/keypoint.cpp
  3. 3335
      modules/features2d/src/sift.cpp

@ -269,7 +269,7 @@ CV_EXPORTS void read(const FileNode& node, CV_OUT vector<KeyPoint>& keypoints);
/*
* A class filters a vector of keypoints.
* Because now it is difficult to provide a convenient interface for all usage scenarios of the keypoints filter class,
* it has only 3 needed by now static methods.
* it has only 4 needed by now static methods.
*/
class CV_EXPORTS KeyPointsFilter
{
@ -288,6 +288,10 @@ public:
* Remove keypoints from some image by mask for pixels of this image.
*/
static void runByPixelsMask( vector<KeyPoint>& keypoints, const Mat& mask );
/*
* Remove duplicated keypoints.
*/
static void removeDuplicated( vector<KeyPoint>& keypoints );
};
/*!
@ -295,6 +299,7 @@ public:
The class implements SIFT algorithm by D. Lowe.
*/
class CV_EXPORTS SIFT
{
public:
@ -306,14 +311,15 @@ public:
enum { FIRST_ANGLE = 0, AVERAGE_ANGLE = 1 };
CommonParams();
CommonParams( int _nOctaves, int _nOctaveLayers, int _firstOctave, int _angleMode );
int nOctaves, nOctaveLayers, firstOctave;
int angleMode;
CommonParams( int _nOctaves, int _nOctaveLayers, int /*_firstOctave*/, int /*_angleMode*/ );
int nOctaves, nOctaveLayers;
int firstOctave; // it is not used now (firstOctave == 0 always)
int angleMode; // it is not used now
};
struct CV_EXPORTS DetectorParams
{
static double GET_DEFAULT_THRESHOLD() { return 0.04 / SIFT::CommonParams::DEFAULT_NOCTAVE_LAYERS / 2.0; }
static double GET_DEFAULT_THRESHOLD() { return 0.04; }
static double GET_DEFAULT_EDGE_THRESHOLD() { return 10.0; }
DetectorParams();
@ -328,9 +334,10 @@ public:
static const int DESCRIPTOR_SIZE = 128;
DescriptorParams();
DescriptorParams( double _magnification, bool _isNormalize, bool _recalculateAngles );
DescriptorParams( double _magnification, bool /*_isNormalize*/, bool _recalculateAngles );
DescriptorParams( bool _recalculateAngles );
double magnification;
bool isNormalize;
bool isNormalize; // it is not used now (true always)
bool recalculateAngles;
};

@ -234,4 +234,65 @@ void KeyPointsFilter::runByPixelsMask( vector<KeyPoint>& keypoints, const Mat& m
keypoints.erase(remove_if(keypoints.begin(), keypoints.end(), MaskPredicate(mask)), keypoints.end());
}
struct KeyPoint_LessThan
{
KeyPoint_LessThan(const vector<KeyPoint>& _kp) : kp(&_kp) {}
bool operator()(int i, int j) const
{
const KeyPoint& kp1 = (*kp)[i];
const KeyPoint& kp2 = (*kp)[j];
if( kp1.pt.x != kp2.pt.x )
return kp1.pt.x < kp2.pt.x;
if( kp1.pt.y != kp2.pt.y )
return kp1.pt.y < kp2.pt.y;
if( kp1.size != kp2.size )
return kp1.size > kp2.size;
if( kp1.size != kp2.size )
return kp1.size > kp2.size;
if( kp1.angle != kp2.angle )
return kp1.angle < kp2.angle;
if( kp1.response != kp2.response )
return kp1.response > kp2.response;
if( kp1.octave != kp2.octave )
return kp1.octave > kp2.octave;
if( kp1.class_id != kp2.class_id )
return kp1.class_id > kp2.class_id;
return i < j;
}
const vector<KeyPoint>* kp;
};
void KeyPointsFilter::removeDuplicated( vector<KeyPoint>& keypoints )
{
int i, j, n = (int)keypoints.size();
vector<int> kpidx(n);
vector<uchar> mask(n, (uchar)1);
for( i = 0; i < n; i++ )
kpidx[i] = i;
std::sort(kpidx.begin(), kpidx.end(), KeyPoint_LessThan(keypoints));
for( i = 1, j = 0; i < n; i++ )
{
KeyPoint& kp1 = keypoints[kpidx[i]];
KeyPoint& kp2 = keypoints[kpidx[j]];
if( kp1.pt.x != kp2.pt.x || kp1.pt.y != kp2.pt.y ||
kp1.size != kp2.size || kp1.angle != kp2.angle )
j = i;
else
mask[kpidx[i]] = 0;
}
for( i = j = 0; i < n; i++ )
{
if( mask[i] )
{
if( i != j )
keypoints[j] = keypoints[i];
j++;
}
}
keypoints.resize(j);
}
}

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