Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Efficient Parallel Algorithms for the Extraction of Invariant Image Features \Lambda

Summary: Efficient Parallel Algorithms for the
Extraction of Invariant Image Features \Lambda
M. N¨olle, G. Schreiber, H. Schulz­Mirbach y
Technische Universit¨at Hamburg--Harburg, Technische Informatik I
D­21071 Hamburg, Germany
To appear in Proc. of the IEEE Workshop on Nonlinear Signal and Image Processing,
Halkidiki, Greece, Juni 1995.
ABSTRACT --- The paper presents algo­
rithms for the extraction of image features
which are invariant with respect to the action
of a transformation group on the image data.
We focus on the parallelization of these algo­
rithms. The occuring data dependencies are
typical for a whole class of algorithms. The re­
sulting communication demands can be char­
acterized by a set of parameters. According to
the values of these parameters it is possible to
find well suited topologies for the communica­
tion network. We analyze embeddings of these
topologies into a fixed network structure and


Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung


Collections: Computer Technologies and Information Sciences