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fix 4.x links
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@@ -20,10 +20,10 @@ For detailed explanations about the theory, please refer to a computer vision co
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* An Invitation to 3-D Vision: From Images to Geometric Models, @cite Ma:2003:IVI
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* Computer Vision: Algorithms and Applications, @cite RS10
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The tutorial code can be found here [C++](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/features2D/Homography),
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[Python](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/features2D/Homography),
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[Java](https://github.com/opencv/opencv/tree/master/samples/java/tutorial_code/features2D/Homography).
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The images used in this tutorial can be found [here](https://github.com/opencv/opencv/tree/master/samples/data) (`left*.jpg`).
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The tutorial code can be found here [C++](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/features2D/Homography),
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[Python](https://github.com/opencv/opencv/tree/4.x/samples/python/tutorial_code/features2D/Homography),
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[Java](https://github.com/opencv/opencv/tree/4.x/samples/java/tutorial_code/features2D/Homography).
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The images used in this tutorial can be found [here](https://github.com/opencv/opencv/tree/4.x/samples/data) (`left*.jpg`).
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Basic theory {#tutorial_homography_Basic_theory}
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------------
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