generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

added cv::GFTTDetector

Browse Source
This commit is contained in:
Ilya Lavrenov
2014-01-24 19:39:05 +04:00
parent ac3f06bc7f
commit e559256719
13 changed files with 128 additions and 114 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
modules/features2d/src/dynamic.cpp
View File

@@ -54,8 +54,10 @@ bool DynamicAdaptedFeatureDetector::empty() const
return !adjuster_ || adjuster_->empty();
}
void DynamicAdaptedFeatureDetector::detectImpl(const Mat& image, std::vector<KeyPoint>& keypoints, const Mat& mask) const
void DynamicAdaptedFeatureDetector::detectImpl(InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask) const
{
Mat image = _image.getMat(), mask = _mask.getMat();
//for oscillation testing
bool down = false;
bool up = false;
@@ -98,7 +100,7 @@ FastAdjuster::FastAdjuster( int init_thresh, bool nonmax, int min_thresh, int ma
min_thresh_(min_thresh), max_thresh_(max_thresh)
{}
void FastAdjuster::detectImpl(const Mat& image, std::vector<KeyPoint>& keypoints, const Mat& mask) const
void FastAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
{
FastFeatureDetector(thresh_, nonmax_).detect(image, keypoints, mask);
}
@@ -133,7 +135,7 @@ StarAdjuster::StarAdjuster(double initial_thresh, double min_thresh, double max_
min_thresh_(min_thresh), max_thresh_(max_thresh)
{}
void StarAdjuster::detectImpl(const Mat& image, std::vector<KeyPoint>& keypoints, const Mat& mask) const
void StarAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
{
StarFeatureDetector detector_tmp(16, cvRound(thresh_), 10, 8, 3);
detector_tmp.detect(image, keypoints, mask);
@@ -167,7 +169,7 @@ SurfAdjuster::SurfAdjuster( double initial_thresh, double min_thresh, double max
min_thresh_(min_thresh), max_thresh_(max_thresh)
{}
void SurfAdjuster::detectImpl(const Mat& image, std::vector<KeyPoint>& keypoints, const cv::Mat& mask) const
void SurfAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
{
Ptr<FeatureDetector> surf = FeatureDetector::create("SURF");
surf->set("hessianThreshold", thresh_);