  In this paper, we describe a novel shape classification method which is
embedded in the Bayesian paradigm. We discuss the modelling and the resulting
shape classification algorithm for two and three dimensional data shapes. We
conclude by evaluating the efficiency and efficacy of the proposed algorithm on
the Kimia shape database for the two dimensional case.
