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SCALESPACE
2009
Springer
13 years 11 months ago
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Flor...
ICCV
2009
IEEE
14 years 9 months ago
Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers
We introduce a linearly weighted variant of the total variation for vector fields in order to formulate regularizers for multi-class labeling problems with non-trivial interclass...
J. Lellmann, F. Becker, C. Schn¨orr
ECCV
2010
Springer
13 years 5 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
ICCV
2009
IEEE
14 years 9 months ago
Convex Multi-Region Segmentation on Manifolds
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
Amaël Delaunoy, Ketut Fundana, Emmanuel Prados, A...