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Add a small exercise to show the warping of the homography transformations step-by-step.

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catree 2022-06-19 22:59:50 +02:00
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doc/tutorials/features2d/homography/homography.markdown
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@ -416,6 +416,12 @@ The homography matrices are similar. If we compare the image 1 warped using both
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.
#### Exercise
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.
You should get something similar to this video:
### Demo 4: Decompose the homography matrix {#tutorial_homography_Demo4}
OpenCV 3 contains the function @ref cv::decomposeHomographyMat which allows to decompose the homography matrix to a set of rotations, translations and plane normals.