Abstract
Image registration is an important technique in many computer vision applications, such as image fusion, object tracking, face recognition, change detection, etc. Registration of multi-date images is based on primitive space, similarity measure, search and optimization strategy. Each component plays a fundamental role in estimating the best spatial transformation, which has a direct impact on the robustness and accuracy of these methods. In this paper, we will be discussing classical and recent image registration methods, including their fundamental principles. This review provides a comprehensive reference resource for researchers involved in image registration with Fourier-based image correlation by describing Fourier-based image correlation methods, describing existing subpixel techniques in the frequency domain, and summarizing comparative studies of subpixel techniques.
Keywords: sub-pixel registration, matching, phase correlation, Fourier transform