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   -> Volume 4, Issue 6


Preprint: Visualization of Multidimensional Shape and Texture...
 
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"Lars Lippert" (lippert@inf.ethz.ch)
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PostPosted: Tue Dec 03, 2002 1:19 pm    
Subject: Preprint: Visualization of Multidimensional Shape and Texture...
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Preprint: Visualization of Multidimensional Shape and Texture...

Title: Visualization of Multidimensional Shape and Texture
Features in Laser Range Data using Complex-Valued Gabor Wavelets

Preprint & figures available by anonymous ftp from ftp.inf.ethz.ch
Directory: /doc/papers/is/cg/ieee-tvcg95/

Authors: M. H. Gross, R. Koch

Abstract:
This paper describes a new method for visualization and analysis of
multivariate laser range data using complex-valued non-orthogonal
Gabor wavelets, principal component analysis and a topological
mapping network. The initial data set that provides both shape and
texture information is encoded in terms of both amplitude and phase
of a complex valued 2D image function. A set of carefully designed
oriented Gabor filters performs a decomposition of the data and
allows for retrieving local shape and texture features. The feature
vector obtained from this method is multidimensional and in order to
evaluate similar data features, further subspace methods to transform
the data onto visualizable attributes, such as R,G,B, have to be
determined. For this purpose, a feature-based visualization pipeline
is proposed consisting of principal component analysis, normalization
and a topological mapping network. This process finally renders a
R,G,B subspace representation of the multidimensional feature vector.
Our method is primarily applied to the visual analysis of features in
human faces - but is not restricted to that.

anonymous ftp://ftp.inf.ethz.ch/doc/papers/is/cg/ieee-tvcg95/

Lars Lippert Computer Graphics Research Group
Institute for Information Systems, Swiss Federal Institute of Technology
Tel.: +41-1-632 71 21 Email: lippert@inf.ethz.ch
Fax : +41-1-632 11 72 Office: IFW E41
http://www.inf.ethz.ch/department/IS/cg/
All times are GMT + 1 Hour
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