Detectors and descriptors for registration of illumination varying, globally distorted images

摘要

Image registration is an ill-posed problem. But due to the fact that it finds applications in many fields, it is an open research area. There are many ways to register images of which interpolation-based image registration is widely used. The accuracy of interpolation-based image registration depends largely on two factors - (1) Accurate localization of interest points (IPs) with respect to various distortions and (2) the robustness of region descriptors to geometry and illumination changes. In this context, through this paper, we make the following two contributions - (1) it is shown that region-based IPs outperform corner-based IPs when global distortions are dominant. (2) We propose new efficient region descriptors for the case when images to be registered differ by illumination.The proposed descriptors are computationally fast, and hence they help in fast matching.