void PyramidAdaptedFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat src = image;
+ Mat src_mask = mask;
+
+ Mat dilated_mask;
+ if( !mask.empty() )
+ {
+ dilate( mask, dilated_mask, Mat() );
+ Mat mask255( mask.size(), CV_8UC1, Scalar(0) );
+ mask255.setTo( Scalar(255), dilated_mask != 0 );
+ dilated_mask = mask255;
+ }
+
for( int l = 0, multiplier = 1; l <= maxLevel; ++l, multiplier *= 2 )
{
// Detect on current level of the pyramid
vector<KeyPoint> new_pts;
- detector->detect( src, new_pts, mask );
+ detector->detect( src, new_pts, src_mask );
for( vector<KeyPoint>::iterator it = new_pts.begin(), end = new_pts.end(); it != end; ++it)
{
it->pt.x *= multiplier;
if( l < maxLevel )
{
Mat dst;
- pyrDown(src, dst);
+ pyrDown( src, dst );
src = dst;
+
+ if( !mask.empty() )
+ resize( dilated_mask, src_mask, src.size(), 0, 0, CV_INTER_AREA );
}
}
+
+ if( !mask.empty() )
+ KeyPointsFilter::runByPixelsMask( keypoints, mask );
}
}