Sun, ZikaiZikaiSunZhang, ZihanZihanZhangTHIERRY BLU2024-03-072024-03-072022-01-01978166549620915224880https://scholars.lib.ntu.edu.tw/handle/123456789/640445High-speed is an essential requirement for many applications of image registration. However, existing methods are usually time-consuming due to the difficulty of the task. In this paper, different from usual feature-based ideas, we convert the matching problem into an algebraic optimization task. By solving a series of quadratic optimization equations, the underlying deformation (rotation, scaling and shift) between image pairs can be retrieved. This process is extremely fast and can be performed in real-time. Experiments show that our method can achieve good performance at a much lower computation cost. When used to initialize our earlier parametric Local All-Pass (LAP) registration algorithm, the results obtained improve significantly over the state of the art.Algebraic optimization | Image registration | Local All-Pass filtersconference paper10.1109/ICIP46576.2022.98974512-s2.0-85146719971https://api.elsevier.com/content/abstract/scopus_id/85146719971