Data-driven face cartoon stylization

dc.contributor.authorZhang, Yong
dc.contributor.authorDong, Weiming
dc.contributor.authorDeussen, Oliver
dc.contributor.authorHuang, Feiyue
dc.contributor.authorLi, Ke
dc.contributor.authorHu, Bao-Gang
dc.date.accessioned2015-03-25T06:25:24Z
dc.date.available2015-03-25T06:25:24Z
dc.date.issued2014eng
dc.description.abstractThis paper presents a data-driven framework for generating cartoon-like facial representations from a given portrait image. We solve our problem by an optimization that simultaneously considers a desired artistic style, image-cartoon relationships of facial components as well as automatic adjustment of the image composition. The stylization operation consists of two steps: a face parsing step to localize and extract facial components from the input image; a cartoon generation step to cartoonize the face according to the extracted information. The components of the cartoon are assembled from a database of stylized facial components. Quantifying the similarity between facial components of input and cartoon is done by image feature matching. We incorporate prior knowledge about photo-cartoon relationships and the optimal composition of cartoon facial components extracted from a set of cartoon faces to maintain a natural and attractive look of the results.eng
dc.description.versionpublished
dc.identifier.doi10.1145/2669024.2669028eng
dc.identifier.ppn490461336
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/30527
dc.language.isoengeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectFace stylization, face parsing, face alignmenteng
dc.subject.ddc004eng
dc.titleData-driven face cartoon stylizationeng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Zhang2014Datad-30527,
  year={2014},
  doi={10.1145/2669024.2669028},
  title={Data-driven face cartoon stylization},
  isbn={978-1-4503-2895-1},
  publisher={ACM},
  address={New York},
  booktitle={SIGGRAPH Asia 2014 Technical Briefs},
  author={Zhang, Yong and Dong, Weiming and Deussen, Oliver and Huang, Feiyue and Li, Ke and Hu, Bao-Gang},
  note={Article Number: 14}
}
kops.citation.iso690ZHANG, Yong, Weiming DONG, Oliver DEUSSEN, Feiyue HUANG, Ke LI, Bao-Gang HU, 2014. Data-driven face cartoon stylization. SIGGRAPH Asia 2014. Shenzhen, China, 3. Dez. 2014 - 6. Dez. 2014. In: SIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028deu
kops.citation.iso690ZHANG, Yong, Weiming DONG, Oliver DEUSSEN, Feiyue HUANG, Ke LI, Bao-Gang HU, 2014. Data-driven face cartoon stylization. SIGGRAPH Asia 2014. Shenzhen, China, Dec 3, 2014 - Dec 6, 2014. In: SIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/30527">
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Li, Ke</dc:contributor>
    <dcterms:title>Data-driven face cartoon stylization</dcterms:title>
    <dc:contributor>Huang, Feiyue</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:issued>2014</dcterms:issued>
    <dc:creator>Zhang, Yong</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-25T06:25:24Z</dc:date>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30527"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-25T06:25:24Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Deussen, Oliver</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Zhang, Yong</dc:contributor>
    <dc:creator>Huang, Feiyue</dc:creator>
    <dcterms:abstract xml:lang="eng">This paper presents a data-driven framework for generating cartoon-like facial representations from a given portrait image. We solve our problem by an optimization that simultaneously considers a desired artistic style, image-cartoon relationships of facial components as well as automatic adjustment of the image composition. The stylization operation consists of two steps: a face parsing step to localize and extract facial components from the input image; a cartoon generation step to cartoonize the face according to the extracted information. The components of the cartoon are assembled from a database of stylized facial components. Quantifying the similarity between facial components of input and cartoon is done by image feature matching. We incorporate prior knowledge about photo-cartoon relationships and the optimal composition of cartoon facial components extracted from a set of cartoon faces to maintain a natural and attractive look of the results.</dcterms:abstract>
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Dong, Weiming</dc:creator>
    <dc:creator>Hu, Bao-Gang</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30527/1/Zhang_0-277918.pdf"/>
    <dc:creator>Li, Ke</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30527/1/Zhang_0-277918.pdf"/>
    <dc:contributor>Deussen, Oliver</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Dong, Weiming</dc:contributor>
    <dc:contributor>Hu, Bao-Gang</dc:contributor>
  </rdf:Description>
</rdf:RDF>
kops.conferencefieldSIGGRAPH Asia 2014, 3. Dez. 2014 - 6. Dez. 2014, Shenzhen, Chinadeu
kops.date.conferenceEnd2014-12-06eng
kops.date.conferenceStart2014-12-03eng
kops.description.openAccessopenaccessgreen
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-0-277918
kops.location.conferenceShenzhen, Chinaeng
kops.sourcefield<i>SIGGRAPH Asia 2014 Technical Briefs</i>. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028deu
kops.sourcefield.plainSIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028deu
kops.sourcefield.plainSIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028eng
kops.title.conferenceSIGGRAPH Asia 2014eng
relation.isAuthorOfPublication4e85f041-bb89-4e27-b7d6-acd814feacb8
relation.isAuthorOfPublication.latestForDiscovery4e85f041-bb89-4e27-b7d6-acd814feacb8
source.bibliographicInfo.articleNumber14eng
source.identifier.isbn978-1-4503-2895-1eng
source.publisherACMeng
source.publisher.locationNew Yorkeng
source.titleSIGGRAPH Asia 2014 Technical Briefseng
temp.internal.duplicates<p>Keine Dubletten gefunden. Letzte Überprüfung: 16.02.2015 09:11:04</p>deu

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Zhang_0-277918.pdf
Größe:
505.93 KB
Format:
Adobe Portable Document Format
Beschreibung:
Zhang_0-277918.pdf
Zhang_0-277918.pdfGröße: 505.93 KBDownloads: 1931