This short paper presents a deformable surface registration scheme which is based on the statistical shape modelling technique. The method consists of two major processing stages, model building and model fitting. A statistical shape model is first built using a set of training data. Then the model is deformed and matched to the new data by a modified iterative closest point (ICP) registration process. The proposed method is tested on real 3-D facial data from BU-3DFE database. It is shown that proposed method can achieve a reasonable result on surface registration, and can be used for patient position monitoring in radiation therapy and potentially can be used for monitoring of the radiation therapy progress for head and neck patien...
thesisStatistical shape modeling (SSM) enables quantitative analysis of anatomical shapes. SSM is wi...
This paper presents a literature survey of automatic 3D surface registration techniques emphasizing ...
In this article, we present a new 3D non-rigid surface registration algorithm for unstructured point...
This paper describes an improved 3-D facial representation method capable of modeling different type...
In this paper, we propose a new non-rigid robust reg-istration method that registers a point distrib...
In this paper, we present a hybrid 2D-3D deformable registration strategy combining a landmark-to-ra...
Statistical shape modelling is an efficient and robust method for medical image segmentation in comp...
Three-dimensional facial information is very important for assessing the influence of clef lip repai...
Automatic segmentation of organs from medical images is indispensable for the computer-assisted medi...
This paper reports a novel method for deformable registration of digital anatomical surfaces. The me...
This paper presents the methodology and performance of a statistical shape representation for automa...
Purpose: The use of optical surface systems (OSSs) for patient setup verification in external radiat...
Deformable registration is prone to errors when it involves large and complex deformations, since th...
Measured back surface topographies can be useful to monitor the external manifestation of scoliosis ...
A primary investigation on the selection of texture representations for the appearance modeling is a...
thesisStatistical shape modeling (SSM) enables quantitative analysis of anatomical shapes. SSM is wi...
This paper presents a literature survey of automatic 3D surface registration techniques emphasizing ...
In this article, we present a new 3D non-rigid surface registration algorithm for unstructured point...
This paper describes an improved 3-D facial representation method capable of modeling different type...
In this paper, we propose a new non-rigid robust reg-istration method that registers a point distrib...
In this paper, we present a hybrid 2D-3D deformable registration strategy combining a landmark-to-ra...
Statistical shape modelling is an efficient and robust method for medical image segmentation in comp...
Three-dimensional facial information is very important for assessing the influence of clef lip repai...
Automatic segmentation of organs from medical images is indispensable for the computer-assisted medi...
This paper reports a novel method for deformable registration of digital anatomical surfaces. The me...
This paper presents the methodology and performance of a statistical shape representation for automa...
Purpose: The use of optical surface systems (OSSs) for patient setup verification in external radiat...
Deformable registration is prone to errors when it involves large and complex deformations, since th...
Measured back surface topographies can be useful to monitor the external manifestation of scoliosis ...
A primary investigation on the selection of texture representations for the appearance modeling is a...
thesisStatistical shape modeling (SSM) enables quantitative analysis of anatomical shapes. SSM is wi...
This paper presents a literature survey of automatic 3D surface registration techniques emphasizing ...
In this article, we present a new 3D non-rigid surface registration algorithm for unstructured point...