32 search results - page 4 / 7 » An Elasticity Approach to Principal Modes of Shape Variation |
IJON
2007
13 years 7 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...