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» Image representation by compressed sensing
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ICASSP
2011
IEEE
14 years 1 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
107
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
14 years 10 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
ECCV
2006
Springer
15 years 11 months ago
Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
Abstract. Active Appearance Models (AAM) are compact representations of the shape and appearance of objects. Fitting AAMs to images is a difficult, non-linear optimization task. Tr...
Göksel Dedeoglu, Simon Baker, Takeo Kanade
ECCV
2002
Springer
15 years 11 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
PAMI
2012
12 years 12 months ago
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
Kalin Kolev, Thomas Brox, Daniel Cremers