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» Using Optical Flow for Tracking
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TVCG
1998
197views more  TVCG 1998»
13 years 8 months ago
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
—New challenges on vector field visualization emerge as time-dependent numerical simulations become ubiquitous in the field of computational fluid dynamics (CFD). To visualize da...
Han-Wei Shen, David L. Kao
FGR
2011
IEEE
241views Biometrics» more  FGR 2011»
13 years 6 days ago
Emotion recognition from an ensemble of features
— This work details the authors’ efforts to push the baseline of expression recognition performance on a realistic database. Both subject-dependent and subject-independent emot...
Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zha...
ICRA
2006
IEEE
108views Robotics» more  ICRA 2006»
14 years 2 months ago
Classifying Knee Pathologies using Instantaneous Screws of the Six Degrees-of-freedom Knee Motion
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
Alon Wolf, Amir Degani
MICRO
2002
IEEE
156views Hardware» more  MICRO 2002»
13 years 8 months ago
TCP Switching: Exposing Circuits to IP
There has been much discussion about the best way to combine the benefits of new optical circuit switching technology with the established packet switched Internet. In this paper,...
Pablo Molinero-Fernández, Nick McKeown
IVC
2007
124views more  IVC 2007»
13 years 8 months ago
Outlier rejection in high-dimensional deformable models
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...
Christian Vogler, Siome Goldenstein, Jorge Stolfi,...