@Article{LadVorBuh+93,
htmlkey = "LadVorBuh93",
author = "Martin Lades and Jan C. Vorbr{\"u}ggen and Joachim
Buhmann and J{\"o}rg Lange and Christoph von der
Malsburg and Rolf P. W{\"u}rtz and Wolfgang Konen",
year = "1993",
title = "Distortion Invariant Object Recognition in the Dynamic
Link Architecture",
journal = IEEE-Comp,
volume = "42",
number = "3",
pages = "300--311",
abstract = "We present an object recognition system based on the
Dynamic Link Architecture, which is an extension to
classical Artificial Neural Networks. The Dynamic Link
Architecture exploits correlations in the fine-scale
temporal structure of cellular signals in order to
group neurons dynamically into higher-order entities.
These entities represent a very rich structure and can
code for high level objects. In order to demonstrate
the capabilities of the Dynamic Link Architecture we
implemented a program that can recognize human faces
and other objects from video images. Memorized objects
are represented by sparse graphs, whose vertices are
labeled by a multi-resolution description in terms of a
local power spectrum, and whose edges are labeled by
geometrical distance vectors. Object recognition can be
formulated as elastic graph matching, which is
performed here by stochastic optimization of a matching
cost function. Our implementation on a transputer
network successfully achieves recognition of human
faces and office objects from grey level camera images.
The performance of the program is evaluated by a
statistical analysis of recognition results from a
portrait gallery comprising images of 87 persons.",
keywords = "computer vision, distortion invariance, dynamic link
architecture, elastic graph matching, object
recognition, neural network, wavelet",
urlabstract = "http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/Abstracts/LadVorBuh93.html",
}