I don't understand why you'd do this. This is THE problem machine learning algorithms are made for. They will be better at this than almost anything else, so why bother with all this theory?
Plus this theory suffers from all sorts of problems like singularities, gimbal lock, self-crossing, ... that machine learning either extremely likely won't have, or definitely won't have.
I mean I get it's how it was done before. But at this point, why?
Plus this theory suffers from all sorts of problems like singularities, gimbal lock, self-crossing, ... that machine learning either extremely likely won't have, or definitely won't have.
I mean I get it's how it was done before. But at this point, why?