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» Modeling Image Textures by Gibbs Random Fields
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DAGM
2008
Springer
15 years 2 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
92
Voted
ICIP
2010
IEEE
14 years 10 months ago
Disparity and normal estimation through alternating maximization
In this paper, we propose an algorithm that recovers binocular disparities in accordance with the surface properties of the scene under consideration. To do so, we estimate the di...
Ramya Narasimha, Elise Arnaud, Florence Forbes, Ra...
102
Voted
ICIP
2000
IEEE
16 years 2 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
CGF
2004
151views more  CGF 2004»
15 years 14 days ago
A Physically-Based Model for Rendering Realistic Scratches
Individually visible scratches, also called isolated scratches, are very common in real world surfaces. Although their microgeometry is not visible, they are individually percepti...
Carles Bosch, Xavier Pueyo, Stéphane M&eacu...
95
Voted
MICCAI
2009
Springer
16 years 1 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...