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» New Features to Identify Computer Generated Images
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162
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SCALESPACE
2009
Springer
15 years 11 months ago
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
CGI
2004
IEEE
15 years 8 months ago
Probabilistic Motion Sequence Generation
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Mirko Sattler, Ralf Sarlette, Reinhard Klein
137
Voted
BMCBI
2006
139views more  BMCBI 2006»
15 years 4 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
DAS
1998
Springer
15 years 9 months ago
Group 4 Compressed Document Matching
Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transm...
Dar-Shyang Lee, Jonathan J. Hull
EMMCVPR
2005
Springer
15 years 10 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless