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AIPR
2001
IEEE
15 years 3 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
VIS
2004
IEEE
195views Visualization» more  VIS 2004»
16 years 1 months ago
Flow Field Clustering via Algebraic Multigrid
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This...
Michael Griebel, Tobias Preußer, Martin Rump...
TVCG
1998
197views more  TVCG 1998»
14 years 11 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
ICASSP
2010
IEEE
15 years 2 days ago
Language recognition using deep-structured conditional random fields
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
Dong Yu, Shizhen Wang, Zahi Karam, Li Deng
VMV
2004
143views Visualization» more  VMV 2004»
15 years 1 months ago
Illustrating Magnetic Field Lines using a Discrete Particle Model
In this paper we demonstrate how a computational physics approach based on a discrete particle model can be employed for the visualization of magnetic field lines. This can be reg...
Thomas Klein, Thomas Ertl