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modified features2d interface; added algorithmic test for DescriptorMatcher; added sample on matching to many images

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This commit is contained in:
Maria Dimashova
2010-10-29 08:44:42 +00:00
parent 0d3809d0b1
commit 69e329c9fd
16 changed files with 1786 additions and 920 deletions
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modules/features2d/src/detectors.cpp
+16 -13
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@@ -61,6 +61,13 @@ struct MaskPredicate
const Mat& mask;
};
void FeatureDetector::detect(const vector<Mat>& imageCollection, vector<vector<KeyPoint> >& pointCollection, const vector<Mat>& masks ) const
{
pointCollection.resize( imageCollection.size() );
for( size_t i = 0; i < imageCollection.size(); i++ )
detect( imageCollection[i], pointCollection[i], masks.empty() ? Mat() : masks[i] );
}
void FeatureDetector::removeInvalidPoints( const Mat& mask, vector<KeyPoint>& keypoints )
{
if( mask.empty() )
@@ -88,7 +95,7 @@ void FastFeatureDetector::write (FileStorage& fs) const
fs << "nonmaxSuppression" << nonmaxSuppression;
}
void FastFeatureDetector::detectImpl( const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints) const
void FastFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat grayImage = image;
if( image.type() != CV_8U ) cvtColor( image, grayImage, CV_BGR2GRAY );
@@ -126,8 +133,7 @@ void GoodFeaturesToTrackDetector::write (FileStorage& fs) const
fs << "k" << k;
}
void GoodFeaturesToTrackDetector::detectImpl( const Mat& image, const Mat& mask,
vector<KeyPoint>& keypoints ) const
void GoodFeaturesToTrackDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask) const
{
Mat grayImage = image;
if( image.type() != CV_8U ) cvtColor( image, grayImage, CV_BGR2GRAY );
@@ -192,7 +198,7 @@ void MserFeatureDetector::write (FileStorage& fs) const
}
void MserFeatureDetector::detectImpl( const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints ) const
void MserFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
vector<vector<Point> > msers;
@@ -246,7 +252,7 @@ void StarFeatureDetector::write (FileStorage& fs) const
fs << "suppressNonmaxSize" << star.suppressNonmaxSize;
}
void StarFeatureDetector::detectImpl( const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints) const
void StarFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat grayImage = image;
if( image.type() != CV_8U ) cvtColor( image, grayImage, CV_BGR2GRAY );
@@ -291,8 +297,7 @@ void SiftFeatureDetector::write (FileStorage& fs) const
}
void SiftFeatureDetector::detectImpl( const Mat& image, const Mat& mask,
vector<KeyPoint>& keypoints) const
void SiftFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat grayImage = image;
if( image.type() != CV_8U ) cvtColor( image, grayImage, CV_BGR2GRAY );
@@ -325,8 +330,7 @@ void SurfFeatureDetector::write (FileStorage& fs) const
fs << "octaveLayers" << surf.nOctaveLayers;
}
void SurfFeatureDetector::detectImpl( const Mat& image, const Mat& mask,
vector<KeyPoint>& keypoints) const
void SurfFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat grayImage = image;
if( image.type() != CV_8U ) cvtColor( image, grayImage, CV_BGR2GRAY );
@@ -337,7 +341,7 @@ void SurfFeatureDetector::detectImpl( const Mat& image, const Mat& mask,
/*
* DenseFeatureDetector
*/
void DenseFeatureDetector::detectImpl( const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints ) const
void DenseFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
keypoints.clear();
@@ -388,8 +392,7 @@ void keepStrongest( int N, vector<KeyPoint>& keypoints )
}
}
void GridAdaptedFeatureDetector::detectImpl( const Mat &image, const Mat &mask,
vector<KeyPoint> &keypoints ) const
void GridAdaptedFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
keypoints.clear();
keypoints.reserve(maxTotalKeypoints);
@@ -428,7 +431,7 @@ PyramidAdaptedFeatureDetector::PyramidAdaptedFeatureDetector( const Ptr<FeatureD
: detector(_detector), levels(_levels)
{}
void PyramidAdaptedFeatureDetector::detectImpl( const Mat& image, const Mat& mask, vector<KeyPoint>& keypoints ) const
void PyramidAdaptedFeatureDetector::detect( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat src = image;
for( int l = 0, multiplier = 1; l <= levels; ++l, multiplier *= 2 )