2 articles online
rolf@cs.rug.nl
rolf at cs.rug.nl
Tue Sep 5 04:44:04 EDT 1995
Dear connectionists,
the following articles are available online:
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Rolf P. W"urtz. Building visual correspondence maps - from neural
dynamics to a face recognition system.
To appear in: Jose Mira-Mira, editor,
Proceedings of the International Conference on Brain Processes,
Theories and Models. MIT Press, November 1995
Abstract URL: http://www.cs.rug.nl/users/rolf/mccul95.html
Text URL: http://www.cs.rug.nl/users/rolf/mccul95.ps.gz (0.2 MB, 10 pages)
ABSTRACT: On the basis of a pyramidal Gabor function representation of
images two systems are presented that build correspondence maps
between presegmented memorized models and retinal images. The first
one is formulated close to the biology of neuronal layers and dynamic
links. It extends earlier ones by a hierarchical approach and
background independence. The second system is formulated in a way that
is efficiently implementable on digital computers but captures the
crucial properties of the first one. It has the capability for object
recognition under realistic circumstances which is demonstrated by
recognizing human faces independently of their hairstyle.
KEYWORDS: Neural network, dynamic link architecture, correspondence
problem, object recognition, face recognition, coarse-to-fine
strategy, wavelet transform, image representation
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Rolf P. W"urtz. Background invariant face recognition.
To appear in: 3rd SNN Neural Networks Symposium, Nijmegen,
The Netherlands, 14-15 September 1995. Springer Verlag, 1995
Abstract URL: http://www.cs.rug.nl/users/rolf/snn95.html
Text URL: http://www.cs.rug.nl/users/rolf/snn95.ps.gz (0.1MB, 4 pages)
ABSTRACT: As a contribution to handling the symbol grounding problem
in AI an object recognition system is presented that is exemplified
with human faces. It differs from earlier systems by a pyramidal
representation and the ability to cope with structured background.
KEYWORDS: Correspondence problem, object recognition, face
recognition, coarse-to-fine strategy, wavelet transform, image
representation
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| Rolf P. W"urtz | mailto:rolf at cs.rug.nl | URL: http://www.cs.rug.nl/~rolf/ |
| Department of Computing Science, University of Groningen, The Netherlands |
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