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thank you for introduction thanks for having me here so so if I go if you see move it before if I go too slow if I go too fast just let me know and Iamp;#39;ll try to change it if you have questions and in the middle so maybe just start at the very basics for this image registration right typically you want to take a source image the for me to the target image and then you up you formulate this is some sort of optimization problem so the classical setup here is that you minimize some sort of objective function itamp;#39;s a compromise between an irregularity of the transformation meaning to really want to get something smooth and some sort of image mismatch right so you want to match well when you minimize it and you can parameterize these transformations in all sorts of different ways you can have simple parametric models but you can also go to these non parametric models which I will mostly focus on where essentially your parametric parameterize these things with vector fields so w
