ICCV
2011
IEEE
13 years 13 days ago
2011
IEEE
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
PAMI
2008
14 years 11 days ago
2008
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
CGF
2010
14 years 16 days ago
2010
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
BMVC
2000
14 years 1 months ago
2000
This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space...
CCCG
2008
14 years 1 months ago
2008
We present a novel approach to morph between two isometric poses of the same non-rigid object given as triangular meshes. We model the morphs as linear interpolations in a suitabl...
PG
1998
IEEE
14 years 4 months ago
1998
IEEE
The construction of shape spaces is studied from a mathematical and a computational viewpoint. A program is outlined reducing the problem to four tasks: the representation of geom...
ICIP
2003
IEEE
14 years 5 months ago
2003
IEEE
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
ISBI
2009
IEEE
14 years 7 months ago
2009
IEEE
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
ICIP
2006
IEEE
15 years 2 months ago
2006
IEEE
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...