Boundary Shape Recognition Using Accumulated Length and Angle Information
Identifieur interne : 003A31 ( Hal/Checkpoint ); précédent : 003A30; suivant : 003A32Boundary Shape Recognition Using Accumulated Length and Angle Information
Auteurs : Marçal Rusi Ol [Espagne] ; Philippe Dosch [France] ; Josep Llad S [Espagne]Source :
English descriptors
Abstract
In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.
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DOI: 10.1007/978-3-540-72849-8_27
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The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Boundary Shape Recognition Using Accumulated Length and Angle Information</title><author role="aut"><persName><forename type="first">Marçal</forename><forename type="middle">Mr</forename><surname>Rusiñol</surname></persName><email>marcal@cvc.uab.es</email><idno type="halauthor">175917</idno><orgName ref="#struct-98227"></orgName><affiliation ref="#struct-19095"></affiliation></author><author role="aut"><persName><forename type="first">Philippe</forename><surname>Dosch</surname></persName><email>Philippe.Dosch@loria.fr</email><idno type="halauthor">59024</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Josep</forename><forename type="middle">Jl</forename><surname>Lladós</surname></persName><email>Josep.Llados@uab.es</email><idno type="halauthor">175918</idno><orgName ref="#struct-98227"></orgName><affiliation ref="#struct-19095"></affiliation></author><editor role="depositor"><persName><forename>Philippe</forename><surname>Dosch</surname></persName><email>Philippe.Dosch@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2007-07-17 07:00:01</date><date type="whenModified">2016-05-19 01:09:19</date><date type="whenReleased">2007-04-19 11:47:16</date><date type="whenProduced">2007-06-06</date><date type="whenEndEmbargoed">2007-07-17</date><ref type="file" target="https://hal.inria.fr/inria-00142213/document"><date notBefore="2007-07-17"></date></ref><ref type="file" subtype="greenPublisher" n="1" target="https://hal.inria.fr/inria-00142213/file/ibpria07.pdf"><date notBefore="2007-07-17"></date></ref></edition><respStmt><resp>contributor</resp><name key="112615"><persName><forename>Philippe</forename><surname>Dosch</surname></persName><email>Philippe.Dosch@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00142213</idno><idno type="halUri">https://hal.inria.fr/inria-00142213</idno><idno type="halBibtex">rusinol:inria-00142213</idno><idno type="halRefHtml">Joan Martí, José Miguel Benedí, Ana Maria Mendonça and Joan Serrat. Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007, Jun 2007, Girona, Spain. Springer-Verlag, 4478 (4478), pp.210-217, 2007, Lecture Notes in Computer Science; Pattern Recognition and Image Analysis. <10.1007/978-3-540-72849-8_27></idno><idno type="halRef">Joan Martí, José Miguel Benedí, Ana Maria Mendonça and Joan Serrat. Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007, Jun 2007, Girona, Spain. Springer-Verlag, 4478 (4478), pp.210-217, 2007, Lecture Notes in Computer Science; Pattern Recognition and Image Analysis. <10.1007/978-3-540-72849-8_27></idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="commentary">http://www.springer.com/lncs</note><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Boundary Shape Recognition Using Accumulated Length and Angle Information</title><author role="aut"><persName><forename type="first">Marçal</forename><forename type="middle">Mr</forename><surname>Rusiñol</surname></persName><email>marcal@cvc.uab.es</email><idno type="halAuthorId">175917</idno><orgName ref="#struct-98227"></orgName><affiliation ref="#struct-19095"></affiliation></author><author role="aut"><persName><forename type="first">Philippe</forename><surname>Dosch</surname></persName><email>Philippe.Dosch@loria.fr</email><idno type="halAuthorId">59024</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Josep</forename><forename type="middle">Jl</forename><surname>Lladós</surname></persName><email>Josep.Llados@uab.es</email><idno type="halAuthorId">175918</idno><orgName ref="#struct-98227"></orgName><affiliation ref="#struct-19095"></affiliation></author></analytic><monogr><meeting><title>Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007</title><date type="start">2007-06-06</date><date type="end">2007-06-08</date><settlement>Girona</settlement><country key="ES">Spain</country></meeting><editor>Joan Martí, José Miguel Benedí, Ana Maria Mendonça and Joan Serrat</editor><imprint><publisher>Springer-Verlag</publisher><biblScope unit="serie"></biblScope><biblScope unit="volume">4478</biblScope><biblScope unit="issue">4478</biblScope><biblScope unit="pp">210-217</biblScope><date type="datePub">2007-06-06</date></imprint></monogr><idno type="doi">10.1007/978-3-540-72849-8_27</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">boundary shape</term><term xml:lang="en">symbol recognition</term><term xml:lang="en">shape matching</term></keywords><classCode scheme="acm" n="I.5.4"></classCode><classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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