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» Capturing Image Structure with Probabilistic Index Maps
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ICIP
2009
IEEE
14 years 9 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»
15 years 5 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
16 years 1 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
16 years 19 days 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
16 years 1 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