Statistical shape analysis in a Bayesian framework for shapes in two and three dimensions

TL;DR

This paper introduces a Bayesian-based shape classification method for 2D and 3D data, demonstrating its effectiveness on a standard shape database.

Contribution

It presents a new Bayesian framework for shape classification in both two and three dimensions, including a specific algorithm and evaluation results.

Findings

Effective classification on Kimia shape database

Demonstrates efficiency and efficacy of the Bayesian approach

Applicable to both 2D and 3D shape data

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.