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» A Probability Model for Image Annotation
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CVPR
2008
IEEE
16 years 4 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
ISBI
2011
IEEE
14 years 6 months ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
ICDAR
2009
IEEE
15 years 19 days ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
CVPR
2006
IEEE
16 years 4 months ago
Image Matching Using Photometric Information
Image matching is an essential task in many computer vision applications. It is obvious that thorough utilization of all available information is critical for the success of match...
Michael Kolomenkin, Ilan Shimshoni
ICIAP
2001
Springer
16 years 3 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...