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» Shape Statistics for Image Segmentation with Prior
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ICIP
2009
IEEE
15 years 9 months ago
A Markov Random Field Model for Extracting Near-Circular Shapes
We propose a binary Markov Random Field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We...
Tamas Blaskovics, Zoltan Kato, and Ian Jermyn
ICCV
2011
IEEE
13 years 9 months ago
A Convex Framework for Image Segmentation with Moment Constraints
Convex relaxation techniques have become a popular approach to image segmentation as they allow to compute solutions independent of initialization to a variety of image segmentati...
Maria Klodt, Daniel Cremers
DAGM
2005
Springer
15 years 3 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert
96
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WACV
2005
IEEE
15 years 3 months ago
A Model-Based Interactive Object Segmentation Procedure
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Jie Zou
NIPS
2008
14 years 11 months ago
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from image databases. Examining a large set of manuall...
Erik B. Sudderth, Michael I. Jordan