A new shape descriptor defined on the Radon transform
Identifieur interne : 000792 ( Hal/Curation ); précédent : 000791; suivant : 000793A new shape descriptor defined on the Radon transform
Auteurs : Salvatore Tabbone [France] ; Laurent Wendling [France] ; Jean-Pierre Salmon [France]Source :
- Computer Vision and Image Understanding [ 1077-3142 ] ; 2006.
English descriptors
Abstract
This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called $\mathcal R$-transform which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.
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nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><series><title level="j">Computer Vision and Image Understanding</title><idno type="ISSN">1077-3142</idno><imprint><date type="datePub">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Radon transform</term><term>distance transform</term><term>shape recognition</term><term>shape representation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called $\mathcal R$-transform which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">A new shape descriptor defined on the Radon transform</title><author role="aut"><persName><forename type="first">Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email><idno type="halauthor">59043</idno><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Laurent</forename><surname>Wendling</surname></persName><email></email><idno type="halauthor">59044</idno><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Pierre</forename><surname>Salmon</surname></persName><email></email><idno type="halauthor">66080</idno><affiliation ref="#struct-2361"></affiliation></author><editor role="depositor"><persName><forename>Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-11-10 14:49:45</date><date type="whenModified">2016-05-19 01:09:16</date><date type="whenReleased">2005-11-10 14:49:45</date><date type="whenProduced">2006</date></edition><respStmt><resp>contributor</resp><name key="103151"><persName><forename>Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000643</idno><idno type="halUri">https://hal.inria.fr/inria-00000643</idno><idno type="halBibtex">tabbone:inria-00000643</idno><idno type="halRefHtml">Computer Vision and Image Understanding, Elsevier, 2006, 102 (1), pp.42--51</idno><idno type="halRef">Computer Vision and Image Understanding, Elsevier, 2006, 102 (1), pp.42--51</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</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="audience" n="1">Not set</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A new shape descriptor defined on the Radon transform</title><author role="aut"><persName><forename type="first">Salvatore</forename><surname>Tabbone</surname></persName><email>tabbone@loria.fr</email><idno type="halAuthorId">59043</idno><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Laurent</forename><surname>Wendling</surname></persName><idno type="halAuthorId">59044</idno><affiliation ref="#struct-2361"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Pierre</forename><surname>Salmon</surname></persName><idno type="halAuthorId">66080</idno><affiliation ref="#struct-2361"></affiliation></author></analytic><monogr><idno type="halJournalId" status="VALID">4102</idno><idno type="issn">1077-3142</idno><idno type="eissn">1090-235X</idno><title level="j">Computer Vision and Image Understanding</title><imprint><publisher>Elsevier</publisher><biblScope unit="volume">102</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="pp">42--51</biblScope><date type="datePub">2006</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">Radon transform</term><term xml:lang="en">distance transform</term><term xml:lang="en">shape representation</term><term xml:lang="en">shape recognition</term></keywords><classCode scheme="acm" n="I.5"></classCode><classCode scheme="acm" n="I.4"></classCode><classCode scheme="halDomain" n="info.info-cv">Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="en">This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called $\mathcal R$-transform which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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