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» Capturing Image Structure with Probabilistic Index Maps
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ICIP
2009
IEEE
13 years 5 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 1 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
CVPR
2007
IEEE
14 years 9 months ago
Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations
In this paper, we investigate the effect of substantial inter-image intensity changes and changes in modality on the performance of keypoint detection, description, and matching a...
Avi Kelman, Michal Sofka, Charles V. Stewart
MICCAI
2007
Springer
14 years 8 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
ICIP
1994
IEEE
14 years 9 months ago
Global Priors for Binocular Stereopsis
In this paper, we develop a Bayesian feedback method for incorporating global structure into prior models for binocular stereopsis. Since most stereo scenes contain either backgro...
Peter N. Belhumeur