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PUBLICATIONS
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Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts
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Christian Bauer, Thomas Pock, Erich Sorantin, Horst Bischof, Reinhard Beichel
Medical Image Analysis (to appear)
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We present and evaluate a general approach for robust segmentation of tubular tree structures in 3d medical images. |
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(Downloads: 4741)
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Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
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Markus Unger, Thomas Mauthner, Thomas Pock, Horst Bischof
EMMCVPR 2009
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Tracking is usually interpreted as finding an object in single consecutive frames. Regularization is done by enforcing temporal smoothness of appearance, shape and motion. We propose a tracker, by interpreting the task of tracking as segmentation of a volume in 3D... |
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(Downloads: 12097)
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Interactive Texture Segmentation using Random Forests and Total Variation
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Jakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir Saffari, Horst Bischof
British Machine Vision Conference 2009
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Common methods for interactive texture segmentation rely on probability maps based on low dimensional features such as e.g. intensity or color, that are usually modeled using basic learning algorithms such as histograms or Gaussian Mixture Models. The use of low level features allows for fast generation of these hypotheses but limits applicability to a small class of images. We address this problem by learning complex descriptors with Random Forests... |
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(Downloads: 13006)
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An Algorithm for Minimizing the Mumford-Shah Functional
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Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
International Conference on Computer Vision 2009
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In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algorithm which allows to minimize a convex relaxation of the Mumford-Shah functional obtained by functional lifting. The algorithm is an efficient primal-dual projection algorithm for which we prove convergence. |
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(Downloads: 12923)
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A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
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Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof
SSVM 2009, Voss, Norway
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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 the segmentation result using the additional shape information that represents the desired structure. Furthermore the user has the possibility to take corrective actions during the segmentation... |
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(Downloads: 16283)
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A Convex Relaxation Approach for Computing Minimal Partitions
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Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof
CVPR 2009, Miami, FL
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In this work we propose a convex relaxation approach for computing minimal partitions. Our approach is based on rewriting the minimal partition problem (also known as Potts model) in terms of a primal dual Total Variation functional. We show that the Potts prior can be incorporated by means of convex constraints on the dual variables. For minimization we propose an efficient primal dual projected gradient algorithm... |
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(Downloads: 17343)
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A convex approach for computing minimal partitions
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Antonin Chambolle, Daniel Cremers, Thomas Pock
Technical Report
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We describe a convex relaxation for a family of problems of minimal perimeter partitions. The minimization of the relaxed problem can be tackled numerically, we describe an algorithm and show some results. In most cases, our relaxed problem finds a correct... |
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(Downloads: 17089)
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TVSeg - Interactive Total Variation Based Image Segmentation
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Markus Unger, Thomas Pock, Werner Trobin, Daniel Cremers, Horst Bischof
British Machine Vision Conference 2008
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Interactive object extraction is an important part in any image editing software. We present a two step segmentation algorithm that first obtains a binary segmentation and then applies matting on the border regions to obtain a smooth alpha channel... |
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(Downloads: 18753)
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Interactive globally optimal image segmentation
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Markus Unger, Thomas Pock, Horst Bischof
Technical Report 08/02
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Image segmentation is a challenging task in computer vision. We present a general purpose image segmentation framework, and focus on its application to medical imaging... |
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(Downloads: 21785)
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Continuous Globally Optimal Image Segmentation with Local Constraints
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Markus Unger, Thomas Pock, Horst Bischof
Computer Vision Winter Workshop 2008
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The Geodesic Active contour model is a very flexible model for variational image segmentation. Unfortunately the Geodesic Active Contour model exhibits local minima making segmentation results strongly dependent on its initialization... |
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(Downloads: 16002)
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A Probabilistic Multi-phase Model for Variational Image Segmentation
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Thomas Pock, Horst Bischof
Pattern Recognition (Proc. DAGM) 2006
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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 based image segmentation... |
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(Downloads: 15935)
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