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» Image Segmentation Using Local Variation
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CVPR
2007
IEEE
15 years 11 months ago
Variable Bandwidth Image Denoising Using Image-based Noise Models
This paper introduces a variational formulation for image denoising based on a quadratic function over kernels of variable bandwidth. These kernels are scale adaptive and reflect ...
Noura Azzabou, Nikos Paragios, Frederic Guichard, ...
IJCV
2000
109views more  IJCV 2000»
14 years 9 months ago
Fast Lighting Independent Background Subtraction
This paper describes a simple method of fast background subtraction based upon disparity verification that is invariant to arbitrarily rapid run-time changes in illumination. Using...
Yuri A. Ivanov, Aaron F. Bobick, John Liu
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...
71
Voted
PAMI
2010
192views more  PAMI 2010»
14 years 8 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
IJCV
2008
266views more  IJCV 2008»
14 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...