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+/*M///////////////////////////////////////////////////////////////////////////////////////
+ //
+ //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ //
+ //  By downloading, copying, installing or using the software you agree to this license.
+ //  If you do not agree to this license, do not download, install,
+ //  copy or use the software.
+ //
+ //
+ //                           License Agreement
+ //                For Open Source Computer Vision Library
+ //
+ // Copyright (C) 2014, OpenCV Foundation, all rights reserved.
+ // Third party copyrights are property of their respective owners.
+ //
+ // Redistribution and use in source and binary forms, with or without modification,
+ // are permitted provided that the following conditions are met:
+ //
+ //   * Redistribution's of source code must retain the above copyright notice,
+ //     this list of conditions and the following disclaimer.
+ //
+ //   * Redistribution's in binary form must reproduce the above copyright notice,
+ //     this list of conditions and the following disclaimer in the documentation
+ //     and/or other materials provided with the distribution.
+ //
+ //   * The name of the copyright holders may not be used to endorse or promote products
+ //     derived from this software without specific prior written permission.
+ //
+ // This software is provided by the copyright holders and contributors "as is" and
+ // any express or implied warranties, including, but not limited to, the implied
+ // warranties of merchantability and fitness for a particular purpose are disclaimed.
+ // In no event shall the Intel Corporation or contributors be liable for any direct,
+ // indirect, incidental, special, exemplary, or consequential damages
+ // (including, but not limited to, procurement of substitute goods or services;
+ // loss of use, data, or profits; or business interruption) however caused
+ // and on any theory of liability, whether in contract, strict liability,
+ // or tort (including negligence or otherwise) arising in any way out of
+ // the use of this software, even if advised of the possibility of such damage.
+ //
+ //M*/
+
+#ifndef __OPENCV_CCALIB_HPP__
+#define __OPENCV_CCALIB_HPP__
+
+#include <opencv2/core.hpp>
+#include <opencv2/features2d.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/calib3d.hpp>
+
+#include <vector>
+
+/** @defgroup ccalib Custom Calibration Pattern for 3D reconstruction
+*/
+
+namespace cv{ namespace ccalib{
+
+//! @addtogroup ccalib
+//! @{
+
+class CV_EXPORTS CustomPattern : public Algorithm
+{
+public:
+	CustomPattern();
+	virtual ~CustomPattern();
+
+	bool create(InputArray pattern, const Size2f boardSize, OutputArray output = noArray());
+
+	bool findPattern(InputArray image, OutputArray matched_features, OutputArray pattern_points, const double ratio = 0.7,
+					 const double proj_error = 8.0, const bool refine_position = false, OutputArray out = noArray(),
+					 OutputArray H = noArray(), OutputArray pattern_corners = noArray());
+
+	bool isInitialized();
+
+	void getPatternPoints(OutputArray original_points);
+    /**<
+		Returns a vector<Point> of the original points.
+	*/
+	double getPixelSize();
+    /**<
+		Get the pixel size of the pattern
+	*/
+
+	bool setFeatureDetector(Ptr<FeatureDetector> featureDetector);
+	bool setDescriptorExtractor(Ptr<DescriptorExtractor> extractor);
+	bool setDescriptorMatcher(Ptr<DescriptorMatcher> matcher);
+
+	Ptr<FeatureDetector> getFeatureDetector();
+	Ptr<DescriptorExtractor> getDescriptorExtractor();
+	Ptr<DescriptorMatcher> getDescriptorMatcher();
+
+	double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+				Size imageSize, InputOutputArray cameraMatrix, InputOutputArray distCoeffs,
+				OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
+				TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON));
+    /**<
+		Calls the calirateCamera function with the same inputs.
+	*/
+
+	bool findRt(InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs,
+                OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess = false, int flags = SOLVEPNP_ITERATIVE);
+	bool findRt(InputArray image, InputArray cameraMatrix, InputArray distCoeffs,
+                OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess = false, int flags = SOLVEPNP_ITERATIVE);
+    /**<
+		Uses solvePnP to find the rotation and translation of the pattern
+		with respect to the camera frame.
+	*/
+
+	bool findRtRANSAC(InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs,
+				OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess = false, int iterationsCount = 100,
+				float reprojectionError = 8.0, int minInliersCount = 100, OutputArray inliers = noArray(), int flags = SOLVEPNP_ITERATIVE);
+	bool findRtRANSAC(InputArray image, InputArray cameraMatrix, InputArray distCoeffs,
+				OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess = false, int iterationsCount = 100,
+				float reprojectionError = 8.0, int minInliersCount = 100, OutputArray inliers = noArray(), int flags = SOLVEPNP_ITERATIVE);
+        /**<
+		Uses solvePnPRansac()
+	*/
+
+	void drawOrientation(InputOutputArray image, InputArray tvec, InputArray rvec, InputArray cameraMatrix,
+						 InputArray distCoeffs, double axis_length = 3, int axis_width = 2);
+    /**<
+		pattern_corners -> projected over the image position of the edges of the pattern.
+	*/
+
+private:
+
+	Mat img_roi;
+	std::vector<Point2f> obj_corners;
+	double pxSize;
+
+	bool initialized;
+
+	Ptr<FeatureDetector> detector;
+	Ptr<DescriptorExtractor> descriptorExtractor;
+	Ptr<DescriptorMatcher> descriptorMatcher;
+
+	std::vector<KeyPoint> keypoints;
+	std::vector<Point3f> points3d;
+	Mat descriptor;
+
+	bool init(Mat& image, const float pixel_size, OutputArray output = noArray());
+	bool findPatternPass(const Mat& image, std::vector<Point2f>& matched_features, std::vector<Point3f>& pattern_points,
+						 Mat& H, std::vector<Point2f>& scene_corners, const double pratio, const double proj_error,
+						 const bool refine_position = false, const Mat& mask = Mat(), OutputArray output = noArray());
+	void scaleFoundPoints(const double squareSize, const std::vector<KeyPoint>& corners, std::vector<Point3f>& pts3d);
+	void check_matches(std::vector<Point2f>& matched, const std::vector<Point2f>& pattern, std::vector<DMatch>& good, std::vector<Point3f>& pattern_3d, const Mat& H);
+
+	void keypoints2points(const std::vector<KeyPoint>& in, std::vector<Point2f>& out);
+	void updateKeypointsPos(std::vector<KeyPoint>& in, const std::vector<Point2f>& new_pos);
+	void refinePointsPos(const Mat& img, std::vector<Point2f>& p);
+	void refineKeypointsPos(const Mat& img, std::vector<KeyPoint>& kp);
+};
+
+//! @}
+
+}} // namespace ccalib, cv
+
+#endif