In this paper we consider representation issues of rigid body transformations based on geometric properties of reflected correspondence vectors. A sufficient and necessary representation of rigid body transformations is put forward followed by an accurate and robust algorithm for the registration of free-form surfaces. The algorithm makes full use of global rigid motion constraints derived from the representation of rigid body transformations and can effectively deal with occlusion, noise, and appearance and disappearance of points. A comparative study based on both synthetic data and real images show that the registration method is accurate and robus
We present an implicit approach for pair-wise non-rigid registration of moving and deforming objects...
For non-rigid registration, the objects in medical images are usually treated as a single deformable...
This paper introduces a new free-form surface representation scheme for the purpose of fast and accu...
In this paper we consider representation issues of rigid body transformations based on geometric pro...
We present a new method for registration of free-form surfaces based on the iterative closest point ...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
In this paper, we make a detailed study of two rigid-motion constraints. The importance of these two...
In this paper, we present a multiresolutional non-iterative rigid-body image registration technique,...
Recently, progress has been made in restoring the accurate 3D shapes of objects in the real world us...
In this paper, a new method for deformable 3D shape registration is proposed. The algorithm computes...
Image registration covers the set of techniques used in matching images of the same scene. A subset ...
This paper formalizes overlapping free form shape registration as a minimization problem, which mini...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
We present a novel variational and statistical approach for shape registration. Shapes of interest a...
The task of shape recovery from a motion sequence requires the establishment of correspondence betwe...
We present an implicit approach for pair-wise non-rigid registration of moving and deforming objects...
For non-rigid registration, the objects in medical images are usually treated as a single deformable...
This paper introduces a new free-form surface representation scheme for the purpose of fast and accu...
In this paper we consider representation issues of rigid body transformations based on geometric pro...
We present a new method for registration of free-form surfaces based on the iterative closest point ...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
In this paper, we make a detailed study of two rigid-motion constraints. The importance of these two...
In this paper, we present a multiresolutional non-iterative rigid-body image registration technique,...
Recently, progress has been made in restoring the accurate 3D shapes of objects in the real world us...
In this paper, a new method for deformable 3D shape registration is proposed. The algorithm computes...
Image registration covers the set of techniques used in matching images of the same scene. A subset ...
This paper formalizes overlapping free form shape registration as a minimization problem, which mini...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
We present a novel variational and statistical approach for shape registration. Shapes of interest a...
The task of shape recovery from a motion sequence requires the establishment of correspondence betwe...
We present an implicit approach for pair-wise non-rigid registration of moving and deforming objects...
For non-rigid registration, the objects in medical images are usually treated as a single deformable...
This paper introduces a new free-form surface representation scheme for the purpose of fast and accu...