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		<citationkey>CraizerLewiMorv:2006:PaPoDi</citationkey>
		<author>Craizer, Marcos,</author>
		<author>Lewiner, Thomas,</author>
		<author>Morvan, Jean-Marie,</author>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Departamento de Matematica. PUC - Rio de Janeiro</affiliation>
		<affiliation>Universite Claude Bernard. Lyon</affiliation>
		<title>Parabolic Polygons and Discrete Affine Geometry</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)</conferencename>
		<year>2006</year>
		<editor>Oliveira Neto, Manuel Menezes de,</editor>
		<editor>Carceroni, Rodrigo Lima,</editor>
		<booktitle>Proceedings</booktitle>
		<date>8-11 Oct. 2006</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Manaus</conferencelocation>
		<keywords>Affine Differential Geometry, Affine Curvature.</keywords>
		<abstract>Geometry processing applications estimate the local geometry of objects using information localized at points. They usually consider information about the normal as a side product of the points coordinates. This work proposes parabolic polygons as a model for discrete curves, which intrinsically combines points and normals. This model is naturally affine invariant, which makes it particularly adapted to computer vision applications. This work introduces estimators for affine length and curvature on this discrete model and presents, as a proof-of-concept, an affine in- variant curve reconstruction.</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
		<format>On-line</format>
		<size>319 KiB</size>
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		<targetfile>AffineEstimators_Sibgrapi.pdf</targetfile>
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		<e-mailaddress>tomlew@mat.puc-rio.br</e-mailaddress>
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