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» Modeling Image Textures by Gibbs Random Fields
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RT
2000
Springer
15 years 4 months ago
Parameterized Animation Compression
Synthetic images can be parameterized by more than time or viewpoint. We generalize image-based rendering by exploiting texture-mapping graphics hardware to decompress ray-traced ...
Ziyad S. Hakura, Jerome Edward Lengyel, John M. Sn...
CVPR
2010
IEEE
15 years 6 months ago
Facial Point Detection using Boosted Regression and Graph Models
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
Michel Valstar, Brais Martinez, Xavier Binefa, Maj...
MICCAI
2005
Springer
16 years 1 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
118
Voted
BMVC
2010
14 years 10 months ago
Classifying Textile Designs using Region Graphs
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
Wei Jia, Stephen J. McKenna, Annette A. Ward, Keit...
102
Voted
PAMI
2010
174views more  PAMI 2010»
14 years 11 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji