Merge pull request #22130 from catree:homography_tutorial_add_exercise
Update homography tutorial with a small exercise
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@ -416,6 +416,12 @@ The homography matrices are similar. If we compare the image 1 warped using both
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Visually, it is hard to distinguish a difference between the result image from the homography computed from the camera displacement and the one estimated with @ref cv::findHomography function.
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#### Exercise
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This demo shows you how to compute the homography transformation from two camera poses. Try to perform the same operations, but by computing N inter homography this time. Instead of computing one homography to directly warp the source image to the desired camera viewpoint, perform N warping operations to the see the different transformations operating.
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You should get something similar to this video:
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### Demo 4: Decompose the homography matrix {#tutorial_homography_Demo4}
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OpenCV 3 contains the function @ref cv::decomposeHomographyMat which allows to decompose the homography matrix to a set of rotations, translations and plane normals.
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