An experimental study of a point set registration algorithm

We study the problem of point set registration in the plane to measure the similarity between point sets in the plane. This problem plays an important role in a variety of applications, from computer vision to molecular biology. Here, in this project, we study, implement, test, and evaluate FPPMA which is one of the fastest algorithmic approaches in this context. We then compare the results with another well-known technique in the computer vision community (GMMReg method). Finally, we generalize FPPMA to solve the groupwise point set registration problem.