Reference TypeConference Proceedings
Citation KeyTanakaManoCost:2000:CuOrEs
Author1 Tanaka, Júlia Sawaki
2 Manoel, Edson Tadeu Monteiro
3 Costa, Luciano da Fontoura
TitleCurvature and orientation estimation by neuronal structures
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado, RS, Brazil
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.
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
OrganizationSBC - Brazilian Computer Society
Tertiary TypeFull Paper
Size920 KiB
Number of Files1
Target File44-51.pdf
Last Update2002: administrator
Metadata Last Update2020: administrator {D 2000}
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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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Access Date2020, Nov. 26