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CVPR
1997
IEEE
14 years 11 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
APPML
2006
50views more  APPML 2006»
13 years 9 months ago
The stability of Couette flow in a toroidal magnetic field
The stability of the hydromagnetic Couette flow is investigated when a constant current is applied along the axis of the cylinders. It is shown that if the resulting toroidal magn...
Isom H. Herron, Fritzner Soliman
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
14 years 10 months ago
Rendering Implicit Flow Volumes
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
Daqing Xue, Caixia Zhang, Roger Crawfis
IPMI
2001
Springer
14 years 10 months ago
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
ADS
2004
Springer
14 years 1 months ago
Neural Architecture for Temporal Emotion Classification
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...
Roland Schweiger, Pierre Bayerl, Heiko Neumann