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Merge pull request #17907 from Yosshi999:gsoc_asift-py2cpp

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* Implement ASIFT in C++

* '>>' should be '> >' within a nested template

* add a sample for asift usage

* bugfix empty keypoints cause crash

* simpler initialization for mask

* suppress the number of lines

* correct tex document

* type casting

* add descriptorsize for asift

* smaller testdata for asift

* more smaller test data

* add OpenCV short license header
This commit is contained in:
Yosshi999
2020-08-03 23:11:55 +09:00
committed by GitHub
parent ce74285c5e
commit 922108060d
5 changed files with 777 additions and 0 deletions
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modules/features2d/include/opencv2/features2d.hpp
+25
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@@ -245,6 +245,31 @@ typedef Feature2D DescriptorExtractor;
//! @{
/** @brief Class for implementing the wrapper which makes detectors and extractors to be affine invariant,
described as ASIFT in @cite YM11 .
*/
class CV_EXPORTS_W AffineFeature : public Feature2D
{
public:
/**
@param backend The detector/extractor you want to use as backend.
@param maxTilt The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
@param minTilt The lowest power index of tilt factor. 0 is used in the paper.
@param tiltStep Tilt sampling step \f$\delta_t\f$ in Algorithm 1 in the paper.
@param rotateStepBase Rotation sampling step factor b in Algorithm 1 in the paper.
*/
CV_WRAP static Ptr<AffineFeature> create(const Ptr<Feature2D>& backend,
int maxTilt = 5, int minTilt = 0, float tiltStep = 1.4142135623730951f, float rotateStepBase = 72);
CV_WRAP virtual void setViewParams(const std::vector<float>& tilts, const std::vector<float>& rolls) = 0;
CV_WRAP virtual void getViewParams(std::vector<float>& tilts, std::vector<float>& rolls) const = 0;
CV_WRAP virtual String getDefaultName() const CV_OVERRIDE;
};
typedef AffineFeature AffineFeatureDetector;
typedef AffineFeature AffineDescriptorExtractor;
/** @brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform
(SIFT) algorithm by D. Lowe @cite Lowe04 .
*/