opencv/modules/features2d/src/dynamic.cpp
2011-01-31 14:48:15 +00:00

200 lines
5.7 KiB
C++

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#include "precomp.hpp"
namespace cv
{
DynamicAdaptedFeatureDetector::DynamicAdaptedFeatureDetector(const Ptr<AdjusterAdapter>& a,
int min_features, int max_features, int max_iters ) :
escape_iters_(max_iters), min_features_(min_features), max_features_(max_features), adjuster_(a)
{}
bool DynamicAdaptedFeatureDetector::empty() const
{
return adjuster_.empty() || adjuster_->empty();
}
void DynamicAdaptedFeatureDetector::detectImpl(const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask) const
{
//for oscillation testing
bool down = false;
bool up = false;
//flag for whether the correct threshhold has been reached
bool thresh_good = false;
//this is bad but adjuster should persist from detection to detection
AdjusterAdapter& adjuster = const_cast<AdjusterAdapter&> (*adjuster_);
//break if the desired number hasn't been reached.
int iter_count = escape_iters_;
do
{
keypoints.clear();
//the adjuster takes care of calling the detector with updated parameters
adjuster.detect(image, keypoints,mask);
if (int(keypoints.size()) < min_features_)
{
down = true;
adjuster.tooFew(min_features_, (int)keypoints.size());
}
else if (int(keypoints.size()) > max_features_)
{
up = true;
adjuster.tooMany(max_features_, (int)keypoints.size());
}
else
thresh_good = true;
}
while (--iter_count >= 0 && !(down && up) && !thresh_good && adjuster.good());
}
FastAdjuster::FastAdjuster(int init_thresh, bool nonmax) :
thresh_(init_thresh), nonmax_(nonmax)
{}
void FastAdjuster::detectImpl(const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask) const
{
FastFeatureDetector(thresh_, nonmax_).detect(image, keypoints, mask);
}
void FastAdjuster::tooFew(int, int)
{
//fast is easy to adjust
thresh_--;
}
void FastAdjuster::tooMany(int, int)
{
//fast is easy to adjust
thresh_++;
}
//return whether or not the threshhold is beyond
//a useful point
bool FastAdjuster::good() const
{
return (thresh_ > 1) && (thresh_ < 200);
}
StarAdjuster::StarAdjuster(double initial_thresh) :
thresh_(initial_thresh)
{}
void StarAdjuster::detectImpl(const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask) const
{
StarFeatureDetector detector_tmp(16, cvRound(thresh_), 10, 8, 3);
detector_tmp.detect(image, keypoints, mask);
}
void StarAdjuster::tooFew(int, int)
{
thresh_ *= 0.9;
if (thresh_ < 1.1)
thresh_ = 1.1;
}
void StarAdjuster::tooMany(int, int)
{
thresh_ *= 1.1;
}
bool StarAdjuster::good() const
{
return (thresh_ > 2) && (thresh_ < 200);
}
SurfAdjuster::SurfAdjuster() :
thresh_(400.0)
{}
void SurfAdjuster::detectImpl(const Mat& image, vector<KeyPoint>& keypoints, const cv::Mat& mask) const
{
SurfFeatureDetector detector_tmp(thresh_);
detector_tmp.detect(image, keypoints, mask);
}
void SurfAdjuster::tooFew(int, int)
{
thresh_ *= 0.9;
if (thresh_ < 1.1)
thresh_ = 1.1;
}
void SurfAdjuster::tooMany(int, int)
{
thresh_ *= 1.1;
}
//return whether or not the threshhold is beyond
//a useful point
bool SurfAdjuster::good() const
{
return (thresh_ > 2) && (thresh_ < 1000);
}
Ptr<AdjusterAdapter> AdjusterAdapter::create( const string& detectorType )
{
Ptr<AdjusterAdapter> adapter;
if( !detectorType.compare( "FAST" ) )
{
adapter = new FastAdjuster();
}
else if( !detectorType.compare( "STAR" ) )
{
adapter = new StarAdjuster();
}
else if( !detectorType.compare( "SURF" ) )
{
adapter = new SurfAdjuster();
}
return adapter;
}
}