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		<citationkey>TanakaManoCost:2000:CuOrEs</citationkey>
		<author>Tanaka, Júlia Sawaki,</author>
		<author>Manoel, Edson Tadeu Monteiro,</author>
		<author>Costa, Luciano da Fontoura,</author>
		<title>Curvature and orientation estimation by neuronal structures</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<year>2000</year>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<date>October</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<keywords>computer vision, curvature estimation, orientation estimation, neural networks, neurons, partial differential operators, neuronal morphometry, simulation, computer vision.</keywords>
		<abstract>The 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.</abstract>
		<pages>44-51</pages>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<organization>SBC - Brazilian Computer Society</organization>
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