We provide a novel method for evaluating point matches established by typical methods.
Real data based experimental results show that the method outperforms the state-of-the-art.
Under certain conditions, the finally estimated underlying transformation is optimal.
The transformation can be recovered with an error as small as 5% from typical point matches.