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DAGM
2006
Springer
14 years 2 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
SIAMIS
2010
156views more  SIAMIS 2010»
13 years 5 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
ECCV
2008
Springer
15 years 9 days ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
CIVR
2008
Springer
106views Image Analysis» more  CIVR 2008»
14 years 6 days ago
Eye localization for face matching: is it always useful and under what conditions?
In this paper we address the influence of eye localization accuracy on face matching performance in the case of low resolution image and video content. By means of a broad experim...
Bart Kroon, Alan Hanjalic, Sander M. P. Maas
CORR
2010
Springer
258views Education» more  CORR 2010»
13 years 10 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas