Statistical shape analysis in a Bayesian framework for shapes in two and three dimensions
arXiv:1802.10570
Abstract
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.
6 pages, 1 figure