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ICCV
2011
IEEE
13 years 9 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
IPMI
1999
Springer
15 years 10 months ago
MEG Source Imaging Using Multipolar Expansions
We describe the use of truncated multipolar expansions for producing dynamic images of cortical neural activation from measurements of the magnetoencephalogram. We use a signal-sub...
John C. Mosher, Richard M. Leahy, David W. Shattuc...
80
Voted
TMI
2002
155views more  TMI 2002»
14 years 9 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
68
Voted
IGARSS
2010
14 years 7 months ago
A filtering approach to improve deformation accuracy using large baseline, low coherence DInSAR phase images
Phase noise in an interferogram hinders the accuracy and reliability of interferometric synthetic aperture radar (InSAR) measurements, including deformation estimation and topogra...
Abduwasit Ghulam, Reda Amer, Robert Ripperdan
ICIP
2004
IEEE
15 years 11 months ago
A focus measure for light field rendering
Light field rendering is a fundamental method for synthesizing free-viewpoint images from a set of multi-viewpoint images. In the simplest case, the scene structure is approximate...
Keita Takahashi, Akira Kubota, Takeshi Naemura