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Diffstat (limited to 'macros/estimateUncalibratedRectification.sci')
| -rw-r--r-- | macros/estimateUncalibratedRectification.sci | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/macros/estimateUncalibratedRectification.sci b/macros/estimateUncalibratedRectification.sci new file mode 100644 index 0000000..50867e9 --- /dev/null +++ b/macros/estimateUncalibratedRectification.sci @@ -0,0 +1,35 @@ +function [T1,T2]=estimateUncalibratedRectification(fundamentalMatrix,inlierPoints1,inlierPoints2,imageSize) +// It returns projective transformation for rectifying stereo images +// +// Calling Sequence +// [T1,T2]=estimateUncalibratedRectification((fundamentalMatrix,inlierPoints1,inlierPoints2,imageSize); +// +// Parameters +// fundamentalMatrix: 3-by-3 fundamental matrix. +// inlierPoints1: M-by-2 matrix +// inlierPoints2: M-by-2 matrix +// imageSize: 2 element vector, indicating size of the second image. +// +// Description +// estimateUncalibratedRectification gives transformation of both images as 3-by-3 matrices +// +// Examples +// I=imread("lena_left.jpeg"); +// cornerPoints1=detectMinEigenFeatures(I); +// I2=imread("lena_right.jpeg"); +// cornerPoints2=detectMinEigenFeatures(I2); +// fundamentalMat=(cornerPoints1.Location,cornerPoints2.Location); +// [T1, T2]=estimateUncalibratedRectification(fundamentalMat,cornerPoints1.Location,cornerPoints2.Location,size(I2)); + + [lhs rhs]=argn(0); + if lhs>2 + error(msprintf(" Too many output arguments")); + elseif rhs<2 + error(msprintf(" More input arguments required")); + elseif rhs>4 + error(msprintf(" Too many input arguments")); + elseif modulo(rhs,2)==0 + error(msprintf("Either Argument Name or its Value missing")); + end + [T1 T2]=opencv_estimateUncalibratedRectification(fundamentalMatrix,inlierPoints1,inlierPoints2,imageSize); +endfunction |