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» A Generative Model Based Approach to Motion Segmentation
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ISBI
2008
IEEE
14 years 2 months ago
Unsupervised segmentation of cell nuclei using geometric models
Fluorescent microscopy of biological samples allows noninvasive screening of specific molecular events in-situ. This approach is useful for investigating intricate signalling path...
Shaun Fitch, Trevor Jackson, Peter Andras, Craig R...
CVPR
2008
IEEE
14 years 10 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
ICCV
2003
IEEE
14 years 1 months ago
Unsupervised Non-parametric Region Segmentation Using Level Sets
We present a novel non-parametric unsupervised segmentation algorithm based on Region Competition [21]; but implemented within a Level Sets framework [11]. The key novelty of the ...
Timor Kadir, Michael Brady
NIPS
2004
13 years 9 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
ICIP
2005
IEEE
14 years 9 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski