DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method
Identifieur interne : 002807 ( Istex/Corpus ); précédent : 002806; suivant : 002808DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method
Auteurs : Santosh K. C. ; Bart Lamiroy ; Laurent WendlingSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.
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DOI: 10.1007/978-3-642-23687-7_23
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<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method</title><author><name sortKey="K C, Santosh" sort="K C, Santosh" uniqKey="K C S" first="Santosh" last="K. C.">Santosh K. C.</name><affiliation><mods:affiliation>INRIA Nancy Grand Est Research Centre, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Santosh.KC@inria.fr</mods:affiliation></affiliation></author><author><name sortKey="Lamiroy, Bart" sort="Lamiroy, Bart" uniqKey="Lamiroy B" first="Bart" last="Lamiroy">Bart Lamiroy</name><affiliation><mods:affiliation>Nancy Université INPL, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Bart.Lamiroy@loria.fr</mods:affiliation></affiliation></author><author><name sortKey="Wendling, Laurent" sort="Wendling, Laurent" uniqKey="Wendling L" first="Laurent" last="Wendling">Laurent Wendling</name><affiliation><mods:affiliation>LIPADE, Université Paris Descartes, 75270, Paris Cedex 06, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Laurent.Wendling@parisdescartes.fr</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:A93621B1729DEB54F91F31439F44F3A4BD4C0A34</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1007/978-3-642-23687-7_23</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-3KX5P3B4-F/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">002807</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002807</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method</title><author><name sortKey="K C, Santosh" sort="K C, Santosh" uniqKey="K C S" first="Santosh" last="K. C.">Santosh K. C.</name><affiliation><mods:affiliation>INRIA Nancy Grand Est Research Centre, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Santosh.KC@inria.fr</mods:affiliation></affiliation></author><author><name sortKey="Lamiroy, Bart" sort="Lamiroy, Bart" uniqKey="Lamiroy B" first="Bart" last="Lamiroy">Bart Lamiroy</name><affiliation><mods:affiliation>Nancy Université INPL, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Bart.Lamiroy@loria.fr</mods:affiliation></affiliation></author><author><name sortKey="Wendling, Laurent" sort="Wendling, Laurent" uniqKey="Wendling L" first="Laurent" last="Wendling">Laurent Wendling</name><affiliation><mods:affiliation>LIPADE, Université Paris Descartes, 75270, Paris Cedex 06, France</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Laurent.Wendling@parisdescartes.fr</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. 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key="BE">BELGIUM</country></address></affiliation></editor><editor><persName><forename type="first">Wilfried</forename><surname>Philips</surname></persName><email>Wilfried.Philips@telinugent.be</email><affiliation><orgName type="institution">Ghent University</orgName><address><street>St. -Pietersnieuwstraat 41</street><postCode>B9000</postCode><settlement>Ghent</settlement><country key="BE">BELGIUM</country></address></affiliation></editor><editor><persName><forename type="first">Dan</forename><surname>Popescu</surname></persName><email>dan.popescu@csiro.au</email><affiliation><orgName type="institution">CSIRO ICT Centre</orgName><address><street>Epping,</street><postBox>Po Box 76</postBox><postCode>1710</postCode><settlement>Sydney</settlement><region>NSW</region><country key="AU">AUSTRALIA</country></address></affiliation></editor><editor><persName><forename 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KINGDOM</country></address></affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation><orgName type="institution">Carnegie Mellon University</orgName><address><settlement>Pittsburgh</settlement><region>PA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation><orgName type="institution">University of Surrey</orgName><address><settlement>Guildford</settlement><country key="GB">UNITED KINGDOM</country></address></affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation><orgName type="institution">Cornell University</orgName><address><settlement>Ithaca</settlement><region>NY</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation><orgName type="institution">ETH Zurich</orgName><address><settlement>Zurich</settlement><country key="CH">SWITZERLAND</country></address></affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation><orgName type="institution">Stanford University</orgName><address><settlement>Stanford</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation><orgName type="institution">Weizmann Institute of Science</orgName><address><settlement>Rehovot</settlement><country key="IL">ISRAEL</country></address></affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation><orgName 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STATES</country></address></affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation><orgName type="institution">University of California</orgName><address><settlement>Los Angeles</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation><orgName type="institution">University of California</orgName><address><settlement>Berkeley</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation><orgName type="institution">Rice University</orgName><address><settlement>Houston</settlement><region>TX</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation><orgName type="institution">Max-Planck Institute of Computer Science</orgName><address><settlement>Saarbrücken</settlement><country key="DE">GERMANY</country></address></affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesID">558</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en"><head>Abstract</head><p>In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.</p></abstract><textClass ana="keyword"><keywords xml:lang="en"><term>Radon Transform</term><term>DTW</term><term>Pattern Recognition and Retrieval</term></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject-collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject"><list><label>I</label><item><term type="Primary">Computer Science</term></item><label>I22021</label><item><term type="Secondary" subtype="priority-1">Image Processing and Computer Vision</term></item><label>I21017</label><item><term type="Secondary" subtype="priority-2">Artificial Intelligence (incl. 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Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-23687-7</BookID><BookTitle>Advances Concepts for Intelligent Vision Systems</BookTitle><BookSubTitle>13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011. Proceedings</BookSubTitle><BookVolumeNumber>6915</BookVolumeNumber><BookSequenceNumber>6915</BookSequenceNumber><BookDOI>10.1007/978-3-642-23687-7</BookDOI><BookTitleID>272941</BookTitleID><BookPrintISBN>978-3-642-23686-0</BookPrintISBN><BookElectronicISBN>978-3-642-23687-7</BookElectronicISBN><BookChapterCount>67</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag GmbH Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I22021" Priority="1" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I2203X" Priority="3" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I22013" Priority="4" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I13022" Priority="5" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I16021" Priority="6" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Jacques</GivenName><FamilyName>Blanc-Talon</FamilyName></EditorName><Contact><Email>jacques.blanc-talon@dga.defense.gouv.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Richard</GivenName><FamilyName>Kleihorst</FamilyName></EditorName><Contact><Email>richard@Kleihorst.com</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Wilfried</GivenName><FamilyName>Philips</FamilyName></EditorName><Contact><Email>Wilfried.Philips@telinugent.be</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Dan</GivenName><FamilyName>Popescu</FamilyName></EditorName><Contact><Email>dan.popescu@csiro.au</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Paul</GivenName><FamilyName>Scheunders</FamilyName></EditorName><Contact><Email>Paul.Scheunders@ua.ac.be</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>DGA</OrgName><OrgAddress><Street>7-9 rue des mathurins</Street><Postcode>92 221</Postcode><City>Bagneux</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>VITO-TAP</OrgName><OrgAddress><Street>Boeretang 200</Street><Postcode>2400</Postcode><City>MOl</City><Country>Belgium</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>Ghent University</OrgName><OrgAddress><Street>St. -Pietersnieuwstraat 41</Street><Postcode>B9000</Postcode><City>Ghent</City><Country>Belgium</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>CSIRO ICT Centre</OrgName><OrgAddress><Street>Epping,</Street><Postbox>Po Box 76</Postbox><Postcode>1710</Postcode><City>Sydney</City><State>NSW</State><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Physics</OrgDivision><OrgName>University of Antwerp</OrgName><OrgAddress><Street>Universiteitsplein 1; Building N</Street><Postcode>2610</Postcode><City>Wilrijk</City><Country>Belgium</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Image Analysis</PartTitle><PartChapterCount>11</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances Concepts for Intelligent Vision Systems</BookTitle></PartContext></PartInfo><Chapter ID="Chap23" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>23</ChapterID><ChapterDOI>10.1007/978-3-642-23687-7_23</ChapterDOI><ChapterSequenceNumber>23</ChapterSequenceNumber><ChapterTitle Language="En">DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method</ChapterTitle><ChapterFirstPage>249</ChapterFirstPage><ChapterLastPage>260</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>4</PartID><BookID>978-3-642-23687-7</BookID><BookTitle>Advances Concepts for Intelligent Vision Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Santosh</GivenName><FamilyName>K.C.</FamilyName></AuthorName><Contact><Email>Santosh.KC@inria.fr</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Bart</GivenName><FamilyName>Lamiroy</FamilyName></AuthorName><Contact><Email>Bart.Lamiroy@loria.fr</Email></Contact></Author><Author AffiliationIDS="Aff23"><AuthorName DisplayOrder="Western"><GivenName>Laurent</GivenName><FamilyName>Wendling</FamilyName></AuthorName><Contact><Email>Laurent.Wendling@parisdescartes.fr</Email></Contact></Author><Affiliation ID="Aff21"><OrgName>INRIA Nancy Grand Est Research Centre</OrgName><OrgAddress><Street>LORIA - Campus Scientifique</Street><Postbox>BP 239</Postbox><Postcode>54506</Postcode><City>Vandoeuvre-lés-Nancy Cedex</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgName>Nancy Université INPL</OrgName><OrgAddress><Street>LORIA - Campus Scientifique</Street><Postbox>BP 239</Postbox><Postcode>54506</Postcode><City>Vandoeuvre-lés-Nancy Cedex</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgName>LIPADE, Université Paris Descartes</OrgName><OrgAddress><Postcode>75270</Postcode><City>Paris Cedex 06</City><Country>France</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Radon Transform</Keyword><Keyword>DTW</Keyword><Keyword>Pattern Recognition and Retrieval</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method</title></titleInfo><name type="personal"><namePart type="given">Santosh</namePart><namePart type="family">K.C.</namePart><affiliation>INRIA Nancy Grand Est Research Centre, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</affiliation><affiliation>E-mail: Santosh.KC@inria.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bart</namePart><namePart type="family">Lamiroy</namePart><affiliation>Nancy Université INPL, LORIA - Campus Scientifique, BP 239, 54506, Vandoeuvre-lés-Nancy Cedex, France</affiliation><affiliation>E-mail: Bart.Lamiroy@loria.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Laurent</namePart><namePart type="family">Wendling</namePart><affiliation>LIPADE, Université Paris Descartes, 75270, Paris Cedex 06, France</affiliation><affiliation>E-mail: Laurent.Wendling@parisdescartes.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="conference" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.</abstract><subject lang="en"><genre>Keywords</genre><topic>Radon Transform</topic><topic>DTW</topic><topic>Pattern Recognition and Retrieval</topic></subject><relatedItem type="host"><titleInfo><title>Advances Concepts for Intelligent Vision Systems</title><subTitle>13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Jacques</namePart><namePart type="family">Blanc-Talon</namePart><affiliation>DGA, 7-9 rue des mathurins, 92 221, Bagneux, France</affiliation><affiliation>E-mail: jacques.blanc-talon@dga.defense.gouv.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="family">Kleihorst</namePart><affiliation>VITO-TAP, Boeretang 200, 2400, MOl, Belgium</affiliation><affiliation>E-mail: richard@Kleihorst.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wilfried</namePart><namePart type="family">Philips</namePart><affiliation>Ghent University, St. -Pietersnieuwstraat 41, B9000, Ghent, Belgium</affiliation><affiliation>E-mail: Wilfried.Philips@telinugent.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dan</namePart><namePart type="family">Popescu</namePart><affiliation>CSIRO ICT Centre, Epping,, Po Box 76, 1710, Sydney, NSW, Australia</affiliation><affiliation>E-mail: dan.popescu@csiro.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Scheunders</namePart><affiliation>Physics, University of Antwerp, Universiteitsplein 1; Building N, 2610, Wilrijk, Belgium</affiliation><affiliation>E-mail: Paul.Scheunders@ua.ac.be</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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