Solving Image Registration Problems Using Interior Point Methods

This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global convex approximation to the match function which can be optimized using interior point methods. The paper also describes how one can exploit the structure of the resulting optimization problem to develop efficient and effective matching algorithms. Results obtained by applying the proposed scheme to a variety of images are presented. Comments Copyright 2008 Springer. Postprint version. Published in: Lecture Notes in Computer Science, Volume 5305, Computer Vision – ECCV 2008, pages 638-651. DOI: 10.1007/978-3-540-88693-8 Publisher URL: http://www.springerlink.com/content/tk863133gg62x363/ This conference paper is available at ScholarlyCommons: http://repository.upenn.edu/grasp_papers/48 Solving Image Registration Problems Using Interior Point Methods Camillo Jose Taylor and Arvind Bhusnurmath GRASP Laboratory, University of Pennsylvania Abstract. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global convex approximation to the match function which can be optimized using interior point methods. The paper also describes how one can exploit the structure of the resulting optimization problem to develop efficient and effective matching algorithms. Results obtained by applying the proposed scheme to a variety of images are presented. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global convex approximation to the match function which can be optimized using interior point methods. The paper also describes how one can exploit the structure of the resulting optimization problem to develop efficient and effective matching algorithms. Results obtained by applying the proposed scheme to a variety of images are presented.