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Updating documentation.
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@ -297,7 +297,7 @@ row is ignored.
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Unlike findHomography and estimateRigidTransform, the function findTransformECC implements an
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area-based alignment that builds on intensity similarities. In essence, the function updates the
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initial transformation that roughly aligns the images. If this information is missing, the identity
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warp (unity matrix) should be given as input. Note that if images undergo strong
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warp (unity matrix) is used as an initialization. Note that if images undergo strong
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displacements/rotations, an initial transformation that roughly aligns the images is necessary
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(e.g., a simple euclidean/similarity transform that allows for the images showing the same image
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content approximately). Use inverse warping in the second image to take an image close to the first
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