Organic computing for face and object recognition

dc.contributor.author	Würtz, Rolf P.
dc.contributor.editor	Dadam, Peter
dc.contributor.editor	Reichert, Manfred
dc.date.accessioned	2019-10-11T11:37:28Z
dc.date.available	2019-10-11T11:37:28Z
dc.date.issued	2004
dc.description.abstract	In this paper I describe how the various subsystems for a vision system capable of recognizing faces and objects have been developed using Organic Computing methodology, namely the reliance on "learning from nature" and "self-organization". Then, extensions and refinements currently under development are discussed.	en
dc.identifier.isbn	3-88579-380-6
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/28716
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Informatik 2004, Informatik verbindet, Band 2, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-51
dc.title	Organic computing for face and object recognition	en
dc.type	Text/Conference Paper
gi.citation.endPage	640
gi.citation.publisherPlace	Bonn
gi.citation.startPage	636
gi.conference.date	20.-24. September 2004
gi.conference.location	Ulm
gi.conference.sessiontitle	Regular Research Papers

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