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» A Computational Model of Multidimensional Shape
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DAGM
2006
Springer
14 years 23 days ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
CVPR
2008
IEEE
14 years 11 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
NIPS
2007
13 years 10 months ago
Combined discriminative and generative articulated pose and non-rigid shape estimation
Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
IJCV
2006
262views more  IJCV 2006»
13 years 9 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
GMP
2003
IEEE
116views Solid Modeling» more  GMP 2003»
14 years 2 months ago
Computer Aided Ferret Design
In this paper, we explore several extensions to surface pasting. In particular, using the task of modelling a ferret as a driving force, we improved the user interface for cylindr...
Selina Siu, Stephen Mann