I have the following problem. I have some points coordinates (x, y), that i affected with random noise. We can suppose that my points are:
P1 , P2, P3,..., PN
And after the noise addiction:
P1 + x1, P2 + x2, P3 + x3,..., Pn + xN
Now, I would recognise my points even if they are noised. I mean, I would know that P1 + x1 is P1 point and so on. x1, x2, x3,..., xn are random value (sample) generated from a uniform distributed noise with 0 mean and j variance. j is known (and i can choose it). Do you have any suggest to do this? It is a pattern matchin problem, that i have to fix with not much effort. Thank you all in advice