Adaptive processing of catadioptric images using polarization imaging: toward a polacatadioptric model
Identifieur interne : 000031 ( Hal/Curation ); précédent : 000030; suivant : 000032Adaptive processing of catadioptric images using polarization imaging: toward a polacatadioptric model
Auteurs : Samia Ainouz-Zemouche [France] ; Olivier Morel [France] ; Saleh Mosaddegh [France] ; David Fofi [France] ; Abdelaziz Bensrhair [France]Source :
- Optical Engineering [ 0091-3286 ] ; 2013-03-13.
Abstract
A nonparametric method to define a pixel neighborhood in catadioptric images is presented. The method is based on an accurate modeling of the mirror shape by mean of polarization imaging. Unlike most processing methods existing in the literature, this method is nonparametric and enables us to respect the catadioptric image's anamorphosis. The neighborhood is directly derived from the two polarization parameters: the angle and the degree of polarization. Regardless of the shape of the catadioptric sensor's mirror (including noncentral configurations), image processing techniques such as image derivation, edge detection, interest point detection, as well as image matching, can be efficiently performed.
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DOI: 10.1117/1.OE.52.3.037001
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic><idno type="DOI">10.1117/1.OE.52.3.037001</idno><series><title level="j">Optical Engineering</title><idno type="ISSN">0091-3286</idno><imprint><date type="datePub">2013-03-13</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A nonparametric method to define a pixel neighborhood in catadioptric images is presented. The method is based on an accurate modeling of the mirror shape by mean of polarization imaging. Unlike most processing methods existing in the literature, this method is nonparametric and enables us to respect the catadioptric image's anamorphosis. The neighborhood is directly derived from the two polarization parameters: the angle and the degree of polarization. Regardless of the shape of the catadioptric sensor's mirror (including noncentral configurations), image processing techniques such as image derivation, edge detection, interest point detection, as well as image matching, can be efficiently performed.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Adaptive processing of catadioptric images using polarization imaging: toward a polacatadioptric model</title><author role="aut"><persName><forename type="first">Samia</forename><surname>Ainouz-Zemouche</surname></persName><email>samia.ainouz@insa-rouen.fr</email><idno type="halauthor">456226</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Morel</surname></persName><email>olivier.morel@u-bourgogne.fr</email><ptr type="url" target="http://olivim.free.fr"></ptr><idno type="idhal">olivier-morel</idno><idno type="halauthor">790109</idno><idno type="ORCID">http://orcid.org/0000-0002-8599-4598</idno><affiliation ref="#struct-22594"></affiliation></author><author role="aut"><persName><forename type="first">Saleh</forename><surname>Mosaddegh</surname></persName><email></email><idno type="halauthor">355698</idno><affiliation ref="#struct-406734"></affiliation></author><author role="aut"><persName><forename type="first">David</forename><surname>Fofi</surname></persName><email>david.fofi@u-bourgogne.fr</email><ptr type="url" target="http://le2i.cnrs.fr/-David-Fofi-"></ptr><idno type="halauthor">806924</idno><affiliation ref="#struct-22594"></affiliation></author><author role="aut"><persName><forename type="first">Abdelaziz</forename><surname>Bensrhair</surname></persName><email>abdelaziz.bensrhair@insa-rouen.fr</email><idno type="halauthor">482504</idno><affiliation ref="#struct-23832"></affiliation></author><editor role="depositor"><persName><forename>David</forename><surname>Fofi</surname></persName><email>David.Fofi@u-bourgogne.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2013-04-04 14:02:19</date><date type="whenModified">2015-05-27 10:50:36</date><date type="whenReleased">2013-04-05 15:57:25</date><date type="whenProduced">2013-03-13</date><date type="whenEndEmbargoed">2013-04-04</date><ref type="file" target="https://hal.archives-ouvertes.fr/hal-00807516/document"><date notBefore="2013-04-04"></date></ref><ref type="file" subtype="greenPublisher" n="1" target="https://hal.archives-ouvertes.fr/hal-00807516/file/037001_1_1364506303_1.pdf"><date notBefore="2013-04-04"></date></ref></edition><respStmt><resp>contributor</resp><name key="116008"><persName><forename>David</forename><surname>Fofi</surname></persName><email>David.Fofi@u-bourgogne.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00807516</idno><idno type="halUri">https://hal.archives-ouvertes.fr/hal-00807516</idno><idno type="halBibtex">ainouzzemouche:hal-00807516</idno><idno type="halRefHtml">Optical Engineering, SPIE, 2013, pp.037001. <10.1117/1.OE.52.3.037001></idno><idno type="halRef">Optical Engineering, SPIE, 2013, pp.037001. <10.1117/1.OE.52.3.037001></idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="UNIV-CAEN">Université de Caen</idno><idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno><idno type="stamp" n="ENSI-CAEN">Ecole Nationale Supérieure d'Ingénieurs de Caen</idno><idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno><idno type="stamp" n="GREYC-IMAGE" p="GREYC">GREYC image</idno><idno type="stamp" n="GREYC">Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen (GREYC)</idno><idno type="stamp" n="ENSAM">Ecole Nationale Supérieure d'Arts et Métiers</idno><idno type="stamp" n="LE2I" p="UNIV-BOURGOGNE">Laboratoire Electronique, Informatique et Image</idno><idno type="stamp" n="UNIV-BOURGOGNE">Université de Bourgogne</idno><idno type="stamp" n="COMUE-NORMANDIE">Normandie Université</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Adaptive processing of catadioptric images using polarization imaging: toward a polacatadioptric model</title><author role="aut"><persName><forename type="first">Samia</forename><surname>Ainouz-Zemouche</surname></persName><email>samia.ainouz@insa-rouen.fr</email><idno type="halAuthorId">456226</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Olivier</forename><surname>Morel</surname></persName><email>olivier.morel@u-bourgogne.fr</email><ptr type="url" target="http://olivim.free.fr"></ptr><idno type="idHal">olivier-morel</idno><idno type="halAuthorId">790109</idno><idno type="ORCID">http://orcid.org/0000-0002-8599-4598</idno><affiliation ref="#struct-22594"></affiliation></author><author role="aut"><persName><forename type="first">Saleh</forename><surname>Mosaddegh</surname></persName><idno type="halAuthorId">355698</idno><affiliation ref="#struct-406734"></affiliation></author><author role="aut"><persName><forename type="first">David</forename><surname>Fofi</surname></persName><email>david.fofi@u-bourgogne.fr</email><ptr type="url" target="http://le2i.cnrs.fr/-David-Fofi-"></ptr><idno type="halAuthorId">806924</idno><affiliation ref="#struct-22594"></affiliation></author><author role="aut"><persName><forename type="first">Abdelaziz</forename><surname>Bensrhair</surname></persName><email>abdelaziz.bensrhair@insa-rouen.fr</email><idno type="halAuthorId">482504</idno><affiliation ref="#struct-23832"></affiliation></author></analytic><monogr><idno type="halJournalId" status="VALID">7614</idno><idno type="issn">0091-3286</idno><idno type="eissn">1560-2303</idno><title level="j">Optical Engineering</title><imprint><publisher>SPIE</publisher><biblScope unit="pp">037001</biblScope><date type="datePub">2013-03-13</date></imprint></monogr><idno type="doi">10.1117/1.OE.52.3.037001</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><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">A nonparametric method to define a pixel neighborhood in catadioptric images is presented. The method is based on an accurate modeling of the mirror shape by mean of polarization imaging. Unlike most processing methods existing in the literature, this method is nonparametric and enables us to respect the catadioptric image's anamorphosis. The neighborhood is directly derived from the two polarization parameters: the angle and the degree of polarization. Regardless of the shape of the catadioptric sensor's mirror (including noncentral configurations), image processing techniques such as image derivation, edge detection, interest point detection, as well as image matching, can be efficiently performed.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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