Merge pull request #219 from cbalint13/brisk

Remove AGAST (for push to opencv's main)

Author: vpisarev

modules/xfeatures2d/doc/xfeatures2d.bib

@@ -45,15 +45,6 @@ @inproceedings{AOV12
   organization={Ieee}
 }
 
-@inproceedings{mair2010_agast,
-   title={Adaptive and Generic Corner Detection Based on the Accelerated Segment Test"},
-   author={"Elmar Mair and Gregory D. Hager and Darius Burschka and Michael Suppa and Gerhard Hirzinger"},
-   year={"2010"},
-   month={"September"},
-   booktitle={"European Conference on Computer Vision (ECCV'10)"},
-   url={"http://www6.in.tum.de/Main/ResearchAgast"
-}
-
 @incollection{LUCID,
   title={Locally uniform comparison image descriptor},
   author={Ziegler, Andrew, Eric Christiansen, David Kriegman, and Serge J. Belongie}

modules/xfeatures2d/include/opencv2/xfeatures2d.hpp

@@ -129,53 +129,6 @@ class CV_EXPORTS BriefDescriptorExtractor : public DescriptorExtractor
     static Ptr<BriefDescriptorExtractor> create( int bytes = 32 );
 };
 
-/** @overload */
-CV_EXPORTS void AGAST( InputArray image, CV_OUT std::vector<KeyPoint>& keypoints,
-                      int threshold, bool nonmaxSuppression=true );
-
-/** @brief Detects corners using the AGAST algorithm
-
-@param image grayscale image where keypoints (corners) are detected.
-@param keypoints keypoints detected on the image.
-@param threshold threshold on difference between intensity of the central pixel and pixels of a
-circle around this pixel.
-@param nonmaxSuppression if true, non-maximum suppression is applied to detected corners
-(keypoints).
-@param type one of the four neighborhoods as defined in the paper:
-AgastFeatureDetector::AGAST_5_8, AgastFeatureDetector::AGAST_7_12d,
-AgastFeatureDetector::AGAST_7_12s, AgastFeatureDetector::OAST_9_16
-
-Detects corners using the AGAST algorithm by @cite mair2010_agast .
-
- */
-CV_EXPORTS void AGAST( InputArray image, CV_OUT std::vector<KeyPoint>& keypoints,
-                      int threshold, bool nonmaxSuppression, int type );
-
-/** @brief Wrapping class for feature detection using the AGAST method. :
- */
-class CV_EXPORTS_W AgastFeatureDetector : public Feature2D
-{
-public:
-    enum
-    {
-        AGAST_5_8 = 0, AGAST_7_12d = 1, AGAST_7_12s = 2, OAST_9_16 = 3,
-        THRESHOLD = 10000, NONMAX_SUPPRESSION = 10001,
-    };
-
-    CV_WRAP static Ptr<AgastFeatureDetector> create( int threshold=10,
-                                                     bool nonmaxSuppression=true,
-                                                     int type=AgastFeatureDetector::OAST_9_16 );
-
-    CV_WRAP virtual void setThreshold(int threshold) = 0;
-    CV_WRAP virtual int getThreshold() const = 0;
-
-    CV_WRAP virtual void setNonmaxSuppression(bool f) = 0;
-    CV_WRAP virtual bool getNonmaxSuppression() const = 0;
-
-    CV_WRAP virtual void setType(int type) = 0;
-    CV_WRAP virtual int getType() const = 0;
-};
-
 /** @brief Class implementing the locally uniform comparison image descriptor, described in @cite LUCID
 
 An image descriptor that can be computed very fast, while being