Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2002: administrator
Metadata Last Update2020: administrator
Citation KeyTanakaManoCost:2000:CuOrEs
TitleCurvature and orientation estimation by neuronal structures
Access Date2021, Jan. 19
Number of Files1
Size920 KiB
Context area
Author1 Tanaka, Júlia Sawaki
2 Manoel, Edson Tadeu Monteiro
3 Costa, Luciano da Fontoura
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History2008-07-17 14:10:49 :: administrator -> banon ::
2008-08-26 15:23:00 :: banon -> administrator ::
2009-08-13 20:36:51 :: administrator -> banon ::
2010-08-28 20:00:08 :: banon -> administrator ::
2020-02-19 02:58:51 :: administrator -> :: 2000
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordscomputer vision, curvature estimation, orientation estimation, neural networks, neurons, partial differential operators, neuronal morphometry, simulation, computer vision.
AbstractThe paper presents a simple model of curvature and orientation estimation by neural networks where a pair of neurons is used to approximate the partial differential operators needed for curvature and orientation estimation. The influence of neuronal morphometry in the estimation of curvature and orientation is investigated and discussed. In addition, the biological plausibility of the model is discussed, and simulation results are presented along a sequence of increasing plausibility and sophistication. Steerable filters are considered as a means to increase the model efficiency.
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Notes area
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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