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Added methods for derivation from FeatureDetector

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This commit is contained in:
biagio montesano
2014-06-08 17:34:02 +02:00
parent 0863960c75
commit fba71a8ecf
2 changed files with 234 additions and 64 deletions
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85
modules/line_descriptor/include/opencv2/line_descriptor/descriptor.hpp
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@@ -53,18 +53,32 @@
namespace cv
{
class CV_EXPORTS_W LineDescriptor : public virtual Algorithm
class CV_EXPORTS_W KeyLine: public KeyPoint
{
public:
virtual ~LineDescriptor();
void getLineBinaryDescriptors(cv::Mat &oct_binaryDescMat);
/* lines's extremes in original image */
float startPointX;
float startPointY;
float endPointX;
float endPointY;
/* line's extremes in image it was extracted from */
float sPointInOctaveX;
float sPointInOctaveY;
float ePointInOctaveX;
float ePointInOctaveY;
/* the length of line */
float lineLength;
/* number of pixels covered by the line */
unsigned int numOfPixels;
protected:
virtual void getLineBinaryDescriptorsImpl(cv::Mat &oct_binaryDescMat);
};
class CV_EXPORTS_W BinaryDescriptor : public LineDescriptor
class CV_EXPORTS_W BinaryDescriptor : public DescriptorExtractor
{
public:
@@ -92,7 +106,10 @@ namespace cv
/* image's reduction ratio in construction of Gaussian pyramids */
CV_PROP_RW int reductionRatio;
/* read parameters from a FileNode object and store them (struct function) */
void read( const FileNode& fn );
/* store parameters to a FileStorage object (struct function) */
void write( FileStorage& fs ) const;
};
@@ -100,29 +117,63 @@ namespace cv
CV_WRAP BinaryDescriptor(const BinaryDescriptor::Params &parameters =
BinaryDescriptor::Params());
/* read parameters from a FileNode object and store them (class function ) */
virtual void read( const cv::FileNode& fn );
/* store parameters to a FileStorage object (class function) */
virtual void write( cv::FileStorage& fs ) const;
void getLineBinaryDescriptors(cv::Mat &oct_binaryDescMat);
/* requires line detection (only one image) */
CV_WRAP void detect( const Mat& image,
CV_OUT std::vector<KeyPoint>& keypoints,
const Mat& mask=Mat() );
/* requires line detection (more than one image) */
void detect( const std::vector<Mat>& images,
std::vector<std::vector<KeyPoint> >& keypoints,
const std::vector<Mat>& masks=std::vector<Mat>() ) const;
/*return descriptor size */
int descriptorSize() const = 0;
/* return data type */
int descriptorType() const = 0;
/* return norm mode */
int defaultNorm() const = 0;
/* check whether Gaussian pyramids were created */
bool empty() const;
protected:
virtual void getLineBinaryDescriptorsImpl(cv::Mat &oct_binaryDescMat);
virtual void detectImpl( const Mat& image,
std::vector<KeyPoint>& keypoints,
const Mat& mask=Mat() ) const = 0;
AlgorithmInfo* info() const;
Params params;
private:
/* conversion of an LBD descriptor to the decimal equivalent of its binary representation */
unsigned char binaryTest(float* f1, float* f2);
/* compute LBD descriptors */
int ComputeLBD_(ScaleLines &keyLines);
int OctaveKeyLines(std::vector<cv::Mat> & octaveImages, ScaleLines &keyLines);
/* gather lines in groups.
Each group contains the same line, detected in different octaves */
int OctaveKeyLines(ScaleLines &keyLines);
/* get coefficients of line passing by two points (in line_extremes) */
void getLineParameters(cv::Vec4i &line_extremes, cv::Vec3i &lineParams);
/* compute the angle between line and X axis */
float getLineDirection(cv::Vec3i &lineParams);
/* the local gaussian coefficient apply to the orthogonal line direction within each band */
/* the local gaussian coefficient applied to the orthogonal line direction within each band */
std::vector<float> gaussCoefL_;
/* the global gaussian coefficient apply to each Row within line support region */
/* the global gaussian coefficient applied to each Row within line support region */
std::vector<float> gaussCoefG_;
/* vector to store horizontal and vertical derivatives of octave images */
@@ -134,6 +185,12 @@ namespace cv
/* structure to store lines extracted from each octave image */
std::vector<std::vector<cv::Vec4i> > extractedLines;
/* descriptor parameters */
Params params;
/* vector to store the Gaussian pyramid od an input image */
std::vector<cv::Mat> octaveImages;
};
}