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i thought wed have a little look at a neat little algorithm that actually is super super popular and thats iterative closest point so the icp algorithm is used all the time to align point clouds either in two dimensions three dimensions or maybe even more right depending on what youre doing so for example if youre using a robot and youre examining a scene and youve got lidar youre going to be finding lots and lots of data points saying this is a surface over here and its this far away and the question is if youre driving along and youre capturing this lidar repeatedly youve got to try and put all these point clouds together into a bigger one that represents your whole the whole space that youre in and the question is how do we actually align lots of sets of points like this so ive done a slightly smaller scale version here right youve got to imagine this is millions and millions of points repeatedly at i dont know multiple times a second from some expensive laser scanne