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» The Incidence Propagation Method
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CVPR
2007
IEEE
16 years 7 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
ICIP
2005
IEEE
16 years 7 months ago
Watershed-driven active contours for moving object segmentation
In this paper we address the problem of video segmentation. We propose a new method which combines an active contour and a watershed presegmentation. We first apply active contour...
Annabelle Gouze, Cedric De Roover, Benoit M. Macq,...
ICIP
2003
IEEE
16 years 7 months ago
Algorithms for stochastic approximations of curvature flows
Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame...
Gozde B. Unal, Delphine Nain, G. Ben-Arous, Nahum ...
ICIP
2002
IEEE
16 years 7 months ago
A recursive shape error concealment algorithm
The encoding of shape information is a distinguishing feature of MPEG-4. In error prone communication networks, it is important and efficient to conceal shape errors spatially, so...
Guido M. Schuster, Xiaohuan Li, Aggelos K. Katsagg...
MICCAI
2004
Springer
16 years 6 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan