Robust Correspondence Detection by L2E Estimator for Retinal Image Registration

Abstract

Establishing reliable correspondences is often challenging for retinal image registration with poor quality and low overlap. The conventional local search methods usually find many incorrect correspondences by feature descriptor, which would degrade the accuracy of image registration. In this paper, we propose a robust correspondence detection framework for… (More)
DOI: 10.1109/ISPAN-FCST-ISCC.2017.94

Topics

5 Figures and Tables

Slides referencing similar topics