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Webmorph

Lisa DeBruine


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  <identifier identifierType="DOI">10.5281/zenodo.1073697</identifier>
  <creators>
    <creator>
      <creatorName>Lisa DeBruine</creatorName>
      <affiliation>University of Glasgow</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Webmorph</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>faces</subject>
    <subject>morphing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-12-04</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1073697</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/debruine/webmorph/tree/v0.0.0.9000</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1073696</relatedIdentifier>
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  <version>v0.0.0.9000</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This is the first official beta release of webmorph.org.&lt;/p&gt;

&lt;p&gt;WebMorph is a web-based version of Psychomorph, with several additional functions. While WebMorph is optimized for averaging and transforming faces, you can delineate and average any type of image. WebMorph also has several batch functions for processing large numbers of images automatically and can even create moving gifs of your transforms.&lt;/p&gt;

&lt;p&gt;WebMorph uses the open-source java library FaceMorphLib (http://users.aber.ac.uk/bpt/jpsychomorph/version6/javadoc/) by Bernard Tiddeman.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/647910/">647910</awardNumber>
      <awardTitle>How do humans recognise kin?</awardTitle>
    </fundingReference>
  </fundingReferences>
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