Using Orientation Code Matching for Robust Landmark Definition and Verification

摘要

This paper aims to propose a new scheme for robust tagging for landmark definition in unknown circumstance using some qualitative evaluations based on Orientation Code representation and matching which has been proposed for robust image registration even in the presence of change in illumination and occlusion. Necessary characteristics for effective tags: richness, similarity, and uniqueness, are considered in order to design an algorithm for tag extraction. These qualitative considerations can be utilized to design simple and robust algorithm for tag definition in combination with the robust image registration algorithm.