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» Localizing vector field topology
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CVPR
2009
IEEE
15 years 5 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
IJCNN
2008
IEEE
14 years 4 months ago
A comparison of architectural varieties in Radial Basis Function Neural Networks
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
Mehmet Önder Efe, Cosku Kasnakoglu
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
14 years 11 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
TVCG
2010
157views more  TVCG 2010»
13 years 8 months ago
Crease Surfaces: From Theory to Extraction and Application to Diffusion Tensor MRI
—Crease surfaces are two-dimensional manifolds along which a scalar field assumes a local maximum (ridge) or a local minimum (valley) in a constrained space. Unlike isosurfaces, ...
Thomas Schultz, Holger Theisel, Hans-Peter Seidel
ICIP
2003
IEEE
14 years 11 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte