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» Face super-resolution using 8-connected Markov Random Fields...
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ICPR
2008
IEEE
13 years 11 months ago
Face super-resolution using 8-connected Markov Random Fields with embedded prior
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, ...
AVSS
2008
IEEE
13 years 6 months ago
Super-Resolution of Facial Images in Video with Expression Changes
Super-resolution (SR) of facial images from video suffers from facial expression changes. Most of the existing SR algorithms for facial images make an unrealistic assumption that ...
Jiangang Yu, Bir Bhanu
ICVGIP
2008
13 years 6 months ago
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?
Constructing a high-resolution (HR) image from lowresolution (LR) image(s) has been a very active research topic recently with focus shifting from multi-frames to learning based s...
Himanshu Arora, Anoop M. Namboodiri
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
MICCAI
2010
Springer
13 years 3 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios