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» Modeling Image Textures by Gibbs Random Fields
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94
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MMAS
2010
Springer
14 years 7 months ago
Filtering Random Layering Effects in Imaging
Objects that are buried deep in heterogeneous media produce faint echoes which are difficult to distinguish from the backscattered field. Sensor array imaging in such media cannot ...
Liliana Borcea, F. González del Cueto, Geor...
CVPR
2008
IEEE
16 years 2 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
COST
2008
Springer
287views Multimedia» more  COST 2008»
15 years 2 months ago
Facial Expressions Recognition from Image Sequences
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
94
Voted
ICPR
2008
IEEE
15 years 7 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
ICCV
2001
IEEE
16 years 2 months ago
Markov Face Models
The spatial distribution of gray level intensities in an image can be naturally modeled using Markov Random Field (MRF) models. We develop and investigate the performance of face ...
Sarat C. Dass, Anil K. Jain