#pragma once
class Affine2DEstimator
{
public:
	Affine2DEstimator();
	int runKernel( const CvMat* m1, const CvMat* m2, CvMat* model ); 
	int runRANSAC( const CvMat* m1, const CvMat* m2, CvMat* model,
		CvMat* mask, double threshold,
		double confidence=0.99, int maxIters=2000 );
	bool getSubset( const CvMat* m1, const CvMat* m2,
		CvMat* ms1, CvMat* ms2, int maxAttempts=1000 );
	bool checkSubset( const CvMat* ms1, int count );
	int findInliers( const CvMat* m1, const CvMat* m2,
		const CvMat* model, CvMat* error,
		CvMat* mask, double threshold );
	void computeReprojError( const CvMat* m1, const CvMat* m2, const CvMat* model, CvMat* error ); 
	double getDistortion( const CvMat* m1);
	double getMinHeight( const CvMat* m1, const CvMat* m2);
protected:
	CvRNG rng;
	int modelPoints;
	CvSize modelSize;
	int maxBasicSolutions;
	bool checkPartialSubsets;
};



int estimateAffine2D(cv::InputArray _from, cv::InputArray _to,
	cv::OutputArray _out, cv::OutputArray _inliers,
	double param1=3, double param2=0.99);