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» The Geometry of 2D Image Signals
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ECCV
2008
Springer
14 years 10 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
SCIA
2007
Springer
134views Image Analysis» more  SCIA 2007»
14 years 2 months ago
Estimation of Non-Cartesian Local Structure Tensor Fields
Abstract. In medical imaging, signals acquired in non-Cartesian coordinate systems are common. For instance, CT and MRI often produce significantly higher resolution within scan p...
Björn Svensson, Anders Brun, Mats T. Andersso...

Publication
1851views
15 years 9 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
ICIAR
2007
Springer
14 years 2 months ago
A Fast and Reliable Image Mosaicing Technique with Application to Wide Area Motion Detection
Abstract. Image mosaicing is stirring up a lot of interests in the research community for both its scientific significance and potential spinoff in real world applications. Bein...
Alessandro Bevilacqua, Pietro Azzari
CVPR
2012
IEEE
11 years 11 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...