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» A Bayesian approach for image segmentation with shape priors
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CVPR
2006
IEEE
14 years 10 months ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon
TROB
2008
136views more  TROB 2008»
13 years 8 months ago
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words
Abstract--In robotic applications of visual simultaneous localization and mapping techniques, loop-closure detection and global localization are two issues that require the capacit...
Adrien Angeli, David Filliat, Stéphane Donc...
DAGM
2005
Springer
14 years 2 months ago
Network Snakes-Supported Extraction of Field Boundaries from Imagery
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
Matthias Butenuth, Christian Heipke
ISBI
2008
IEEE
14 years 9 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
CVPR
2008
IEEE
14 years 3 months ago
High resolution matting via interactive trimap segmentation
We present a new approach to the matting problem which splits the task into two steps: interactive trimap extraction followed by trimap-based alpha matting. By doing so we gain co...
Christoph Rhemann, Carsten Rother, Alex Rav-Acha, ...