language: en

A Comparative Study of Three Paradigms for Object Recognition Bayesian Statistics, Neural Networks and Expert Systems.

J. K. Aggarwal, Joydeep Ghosh, Dinesh Nair and Ismail Taha
Computer and Vision Research Center The University of Texas at Austin,
Austin, TX, USA
email: aggarwaljk@mail.utexas.edu

Abstract Object recognition, which involves the classification of objects into one of many a priori known object types, and determining object characteristics such as pose, is a difficult problem. A wide range of approaches have been proposed and applied to this problem with limited success. This paper presents a brief comparative study of methods from three different paradigms for object recognition: Bayesian, Neural Network and Expert Systems.

1 Introduction