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function [fundamentalMatrix]=estimateFundamentalMatrix(matchedPoints1,matchedPoints2,varargin)
// It returns the 3-by-3 fundamental matrix corresponding to the input points
//
// Calling Sequence
// fundamentalMat=estimateFundamentalMatrix(matchedPoints1,matchedPoints2);
// fundamentalMat=estimateFundamentalMatrix(matchedPoints1,matchedPoints2,'method','RANSAC','param1',2,'param2',0.99);
//
// Parameters
// matchedPoints1: M-by-2 array of first image points. These points can be SURFPoints, MSERRegions, cornerPoints.
// matchedPoints2: M-by-2 array of the second image points of the same size and format as matchedPoints1.
// method: method for computing fundamental matrix. Possible methods are 7POINT,8POINT,RANSAC,LMEDS and RANSAC is the default one.
// param1: It indiacates maximum distance from a point to an epipolar line in pixels
// param2: It specifies a desirable level of confidence
//
// Description
// estimateFundamentalMatrix function calculates a fundamental matrix from the corresponding points in two images.
//
// Examples
// I=imread("lena_left.jpeg");
// cornerPoints1=detectMinEigenFeatures(I);
// I2=imread("lena_right.jpeg");
// cornerPoints2=detectMinEigenFeatures(I2);
// fundamentalMat=(cornerPoints1.Location,cornerPoints2.Location);
[lhs rhs]=argn(0);
if rhs>10
error(msprintf(" Too many input arguments"));
elseif modulo(rhs,2)==0
error(msprintf("Either Argument Name or its Value missing"));
end
select rhs
case 2 then
[fundamentalMatrix]=opencv_estimateFundamentalMatrix(matchedPoints1,matchedPoints2);
case 4 then
[fundamentalMatrix]=opencv_estimateFundamentalMatrix(matchedPoints1,matchedPoints2,varargin(1),varargin(2));
case 6 then
[fundamentalMatrix]=opencv_estimateFundametanlMatrix(matchedPoints1,matchedPoints2,varargin(1),varargin(2),varargin(3),varargin(4));
case 8 then
[fundamentalMatrix]=opencv_estimateFundamentalMatrix(matchedPoints1,matchedPoints2,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6));
end
endfunction
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