The task of shape recovery from a motion sequence requires the establishment of correspondence between image points. The two processes, the matching process and the shape recovery one, are traditionally viewed as independent. Yet, information obtained during the process of shape recovery can be used to guide the matching process. This paper discusses the mutual relationship between the two processes. The paper is divided into two parts. In the first part we review the constraints imposed on the correspondence by rigid transformations and extend them to objects that undergo general affine (non rigid) transformation (including stretch and shear), as well as to rigid objects with smooth surfaces. In all these cases corresponding points lie alo...
In this paper I try to show that through epipolar geometry we can unify the problems of image matchi...
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. I...
We consider the problem of shape correspondence and retrieval. Although our focus is on articulated ...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
The paper presents a simple model for recovering affine shape and correspondence from two orthogra...
In this work, the correspondence problem for feature points between images is investigated. In this ...
In this paper we consider representation issues of rigid body transformations based on geometric pro...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
Feature matching in images plays an important role in computer vision such as for 3D reconstruction,...
This thesis is concerned with three-dimensional (3D) reconstruction and point registration, which a...
[[abstract]]The registration of shapes in two images appears as an indispensable step in many applic...
AbstractDetermining the similarity of two shapes is a significant task in both machine and human vis...
An algorithm is described which rapidly veri�es the potential rigidity of three dimensional point co...
A solution is proposed for the problem of determining the correspondence between sets of point featu...
In this paper we address the problem of object retrieval based on scale-space interest points, namel...
In this paper I try to show that through epipolar geometry we can unify the problems of image matchi...
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. I...
We consider the problem of shape correspondence and retrieval. Although our focus is on articulated ...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
The paper presents a simple model for recovering affine shape and correspondence from two orthogra...
In this work, the correspondence problem for feature points between images is investigated. In this ...
In this paper we consider representation issues of rigid body transformations based on geometric pro...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
Feature matching in images plays an important role in computer vision such as for 3D reconstruction,...
This thesis is concerned with three-dimensional (3D) reconstruction and point registration, which a...
[[abstract]]The registration of shapes in two images appears as an indispensable step in many applic...
AbstractDetermining the similarity of two shapes is a significant task in both machine and human vis...
An algorithm is described which rapidly veri�es the potential rigidity of three dimensional point co...
A solution is proposed for the problem of determining the correspondence between sets of point featu...
In this paper we address the problem of object retrieval based on scale-space interest points, namel...
In this paper I try to show that through epipolar geometry we can unify the problems of image matchi...
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. I...
We consider the problem of shape correspondence and retrieval. Although our focus is on articulated ...