Continuum Models for Bayesian Image Matching

Abstract

The task of determining the mapping between a pair of images is called image matching and is fundamental in image processing. Prior information is essential to the inference of the mapping because the image features on which matching is based are sparsely distributed and, consequently, underconstrain the problem. In this paper, we describe the Bayesian approach to image matching and introduce suitable priors based on idealized models of continua.

Cite this paper

@inproceedings{Gee1995ContinuumMF, title={Continuum Models for Bayesian Image Matching}, author={James C. Gee and Patrick Peralta}, year={1995} }