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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
ROMAN
2007
IEEE
181views Robotics» more  ROMAN 2007»
14 years 2 months ago
Efficient Articulated Model Fitting on a Single Image or a Sequence
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Matheen Siddiqui, Gérard G. Medioni
ICCV
2011
IEEE
12 years 8 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
CVPR
2011
IEEE
13 years 4 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
CG
2010
Springer
13 years 8 months ago
Realistic cloth augmentation in single view video under occlusions
Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realisti...
Anna Hilsmann, David C. Schneider, Peter Eisert