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» Modeling Image Textures by Gibbs Random Fields
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CVPR
2012
IEEE
13 years 3 months ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan
167
Voted
ICCV
2011
IEEE
14 years 18 days ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
100
Voted
PAMI
2008
176views more  PAMI 2008»
15 years 16 days ago
Learning Flexible Features for Conditional Random Fields
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
Liam Stewart, Xuming He, Richard S. Zemel
CIARP
2009
Springer
15 years 7 months ago
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
Abstract. In this paper, we propose a new formulation of the Differential Optical Flow Equation (DOFE) between two consecutive images considering spatial and temporal information ...
Cyril Cassisa, Serge Simoens, Véronique Pri...
SGP
2004
15 years 3 months ago
Geometric Texture Synthesis by Example
Patterns on real-world objects are often due to variations in geometry across the surface. Height fields and other common parametric methods cannot synthesize many forms of geomet...
Pravin Bhat, Stephen Ingram, Greg Turk