I was looking for some commonly used approaches in computer vision to find the following calibration stickers and I was pretty surprised that I have not found any. I am not sure if I am just googling wrong terms or whether no one cares about this topic.
So I am wondering what is the common approach to find these pasterns ? Is it just by looking for geometrical objects of known properties combined with filtering of colors or by using some feature extractor such as SIFT (which I have not tried yet, but I think that the pattern is too simple for featrue extractor such as SIFT) or is there some more complex/robust approach?
Sorry for such a bad question, but I really did not find any discussions on that topic.