Caetano, Tiberio; Caelli, Terry
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model. By using a specific kind of graph topology, different types of invariant matching models can be implemented via tree-width selection. Models with tree-widths 1, 2, 3 and 4 implement translation, similarity, affine and protective invariant point matching, respectively. The optimal match is then found by exploiting the...[Show more]
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