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GeoS: Geodesic Image Segmentation
European Conference on Computer Vision, (2008): 99-112
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Abstract
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data.
The segmentation problem is cast as approximate energy minimization in a conditional random field. A new, parallel filtering
operator built upon efficient geodesic distance computation is used to propose a set of spatially s...More
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