Low overlap image registration based on both entropy and mutual information measures

Abstract

In this paper, a new approach to image matching based on both entropy and mutual information measures that can correctly perform association under very low overlap conditions is presented. The method is feature-based, working on a list of interest points detected on the acquired images. Unlike the classical SSD/RanSaC method, our algorithm is robust to the… (More)

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Cite this paper

@article{Cesare2008LowOI, title={Low overlap image registration based on both entropy and mutual information measures}, author={Chiara De Cesare and M.-J. Rendas and A. Allais and Michel Perrier}, journal={OCEANS 2008}, year={2008}, pages={1-9} }