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» Nonlinear image representation using divisive normalization
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ICCV
1999
IEEE
13 years 11 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ICIP
2002
IEEE
14 years 9 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin
ICASSP
2009
IEEE
14 years 2 months ago
Quadtree structured restoration algorithms for piecewise polynomial images
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
Adam Scholefield, Pier Luigi Dragotti
CAIP
2011
Springer
247views Image Analysis» more  CAIP 2011»
12 years 7 months ago
Exploiting Image Collections for Recovering Photometric Properties
Abstract. We address the problem of jointly estimating the scene illumination, the radiometric camera calibration and the reflectance properties of an object using a set of images...
Mauricio Díaz, Peter F. Sturm
MICCAI
2010
Springer
13 years 5 months ago
Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns
We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to ...
Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa 0002, Gadi...