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» Classification of Contour Shapes Using Class Segment Sets
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ICML
2007
IEEE
14 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
IJCV
2006
262views more  IJCV 2006»
13 years 7 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...
JMIV
2007
156views more  JMIV 2007»
13 years 7 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
ICCV
2003
IEEE
14 years 9 months ago
Shape Gradients for Histogram Segmentation using Active Contours
We consider the problem of image segmentation using active contours through the minimization of an energy criterion involving both region and boundary functionals. These functiona...
Stéphanie Jehan-Besson, Michel Barlaud, Gil...
ICIP
2003
IEEE
14 years 9 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...