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
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose a practical and efficient method for finding the globally optimal solution...
This paper describes a novel approach to recovering a parametric deformation that optimally register...
This paper describes an approach to reformulating the stereo matching problem as a large scale Linea...
This paper describes a hierarchical image registration algorithm to infer the perspective transforma...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
Image registration is now a well understood problem and several techniques using a combination of co...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
The aim of this thesis is to provide a robust and globally optimal method for rigid point set regist...
Abstract. This paper exploits the different properties between the local neighborhood of global opti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, a robust non-rigid feature matching approach for image registration with geometry con...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose a practical and efficient method for finding the globally optimal solution...
This paper describes a novel approach to recovering a parametric deformation that optimally register...
This paper describes an approach to reformulating the stereo matching problem as a large scale Linea...
This paper describes a hierarchical image registration algorithm to infer the perspective transforma...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
Image registration is now a well understood problem and several techniques using a combination of co...
This paper addresses the image registration problem applying genetic algorithms. The image registrat...
The aim of this thesis is to provide a robust and globally optimal method for rigid point set regist...
Abstract. This paper exploits the different properties between the local neighborhood of global opti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, a robust non-rigid feature matching approach for image registration with geometry con...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose new multilevel optimization methods for minimizing continuously differenti...
In this paper, we propose a practical and efficient method for finding the globally optimal solution...