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» Variational methods for the Dirichlet process
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99
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DAGM
2006
Springer
15 years 5 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
109
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ICIP
2010
IEEE
14 years 12 months ago
Poisson image reconstruction with total variation regularization
This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse probl...
Rebecca Willett, Zachary T. Harmany, Roummel F. Ma...
ECCV
2006
Springer
16 years 3 months ago
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...
Dana Cobzas, Martin Jägersand, Neil Birkbeck,...
SCALESPACE
2009
Springer
15 years 8 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
DAGM
2006
Springer
15 years 5 months ago
Shape Matching by Variational Computation of Geodesics on a Manifold
Abstract. Klassen et al. [9] recently developed a theoretical formulation to model shape dissimilarities by means of geodesics on appropriate spaces. They used the local geometry o...
Frank R. Schmidt, Michael Clausen, Daniel Cremers