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MATLAB STEREO IMAGE RECTIFICATION
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Stereo Image Rectification
This Stereo Image Rectification shows how to use the |estimateFundamentalMatrix|,
|estimateUncalibratedRectification|, and |detectSURFFeatures| functions
to compute the rectification of two uncalibrated images, where the camera
intrinsics are unknown.
Stereo image rectification projects images onto a common image plane in
such a way that the corresponding points have the same row coordinates.
This process is useful for stereo vision, because the 2-D stereo
correspondence problem is reduced to a 1-D problem. As an stereo
image rectification is often used as a pre-processing step for or creating anaglyph images.
This Stereo Image Rectification shows how to use the |estimateFundamentalMatrix|,
|estimateUncalibratedRectification|, and |detectSURFFeatures| functions
to compute the rectification of two uncalibrated images, where the camera
intrinsics are unknown.
Stereo image rectification projects images onto a common image plane in
such a way that the corresponding points have the same row coordinates.
This process is useful for stereo vision, because the 2-D stereo
correspondence problem is reduced to a 1-D problem. As an stereo
image rectification is often used as a pre-processing step for or creating anaglyph images.