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» A Statistical Shape Model without Using Landmarks
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ACIVS
2007
Springer
14 years 3 months ago
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
Romulo Pinho, Jan Sijbers, Toon Huysmans
PG
2002
IEEE
14 years 1 months ago
Shape-Similarity Search of Three-Dimensional Models Using Parameterized Statistics
In this paper, we propose a method for shape-similarity search of 3D polygonal-mesh models. The system accepts triangular meshes, but tolerates degenerated polygons, disconnected ...
Ryutarou Ohbuchi, Tomo Otagiri, Masatoshi Ibato, T...
CVPR
2008
IEEE
14 years 10 months ago
ANSIG - An analytic signature for permutation-invariant two-dimensional shape representation
Many applications require a computer representation of 2D shape, usually described by a set of 2D points. The challenge of this representation is that it must not only capture the...
José J. Rodrigues, Pedro M. Q. Aguiar, Jo&a...
MICCAI
2003
Springer
14 years 9 months ago
User-Defined B-Spline Template-Snakes
We combine a new user initialization process with a B-spline snake to create a model with the properties of a deformable template. This `template' snake can be constrained by ...
Tim McInerney, Hoda Dehmeshki
ICPR
2008
IEEE
14 years 3 months ago
Graph cut based deformable model with statistical shape priors
This paper presents a novel graph cut based segmentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edg...
Noha Youssry El-Zehiry, Adel Elmaghraby