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  <doc>
    <id>6076</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>552</pageFirst>
    <pageLast>568</pageLast>
    <pageNumber>16</pageNumber>
    <edition/>
    <issue/>
    <volume>9914</volume>
    <type>conferenceobject</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces</title>
    <abstract language="eng">We present a novel framework for fully automated and highly accurate determination of facial landmarks and dense correspondence, e.g. a topologically identical mesh of arbitrary resolution, across the entire surface of 3D face models. For robustness and reliability of the proposed approach, we are combining 2D landmark detectors and 3D statistical shape priors with a variational matching method. Instead of matching faces in the spatial domain only, we employ image registration to align the 2D parametrization of the facial surface to a planar template we call the Unified Facial Parameter Domain (ufpd). This allows us to simultaneously match salient photometric and geometric facial features using robust image similarity measures while reasonably constraining geometric distortion in regions with less significant features. We demonstrate the accuracy of the dense correspondence established by our framework on the BU3DFE database with 2500 facial surfaces and show, that our framework outperforms current state-of-the-art methods with respect to the fully automated location of facial landmarks.</abstract>
    <parentTitle language="deu">Computer Vision – ECCV 2016 Workshops</parentTitle>
    <identifier type="doi">10.1007/978-3-319-48881-3_38</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="FulltextUrl">https://opus4.kobv.de/opus4-zib/files/6076/grewezachow2016-dense_correspondence.pdf</enrichment>
    <author>Carl Martin Grewe</author>
    <submitter>Carl Martin Grewe</submitter>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-CameraFacialis">IKG-CameraFacialis</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6076/grewezachow2016-dense_correspondence.pdf</file>
  </doc>
  <doc>
    <id>6910</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>286</pageFirst>
    <pageLast>293</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Spotting the Details: The Various Facets of Facial Expressions</title>
    <parentTitle language="eng">IEEE International Conference on Automatic Face and Gesture Recognition</parentTitle>
    <identifier type="doi">10.1109/FG.2018.00049</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-67696</enrichment>
    <author>Carl Martin Grewe</author>
    <submitter>Carl Martin Grewe</submitter>
    <author>Gabriel le Roux</author>
    <author>Sven-Kristofer Pilz</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6682</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>320</pageFirst>
    <pageLast>321</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>incollection</type>
    <publisherName>Seemann Henschel</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Face to Face-Interface</title>
    <parentTitle language="eng">+ultra. Knowledge &amp; Gestaltung</parentTitle>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Carl Martin Grewe</author>
    <editor>Nikola Doll</editor>
    <submitter>Carl Martin Grewe</submitter>
    <author>Stefan Zachow</author>
    <editor>Horst Bredekamp</editor>
    <editor>Wolfgang Schäffner</editor>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6769</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2018-03-07</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Spotting the Details: The Various Facets of Facial Expressions</title>
    <abstract language="eng">3D Morphable Models (MM) are a popular tool for analysis and synthesis of facial expressions. They represent plausible variations in facial shape and appearance within a low-dimensional parameter space. Fitted to a face scan, the model's parameters compactly encode its expression patterns. This expression code can be used, for instance, as a feature in automatic facial expression recognition. For accurate classification, an MM that can adequately represent the various characteristic facets and variants of each expression is necessary. Currently available MMs are limited in the diversity of expression patterns. We present a novel high-quality Facial Expression Morphable Model built from a large-scale face database as a tool for expression analysis and synthesis. Establishment of accurate dense correspondence, up to finest skin features, enables a detailed statistical analysis of facial expressions. Various characteristic shape patterns are identified for each expression. The results of our analysis give rise to a new facial expression code. We demonstrate the advantages of such a code for the automatic recognition of expressions, and compare the accuracy of our classifier to state-of-the-art.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-67696</identifier>
    <author>Carl Martin Grewe</author>
    <submitter>Carl Martin Grewe</submitter>
    <author>Gabriel Le Roux</author>
    <author>Sven-Kristofer Pilz</author>
    <author>Stefan Zachow</author>
    <series>
      <title>ZIB-Report</title>
      <number>18-06</number>
    </series>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6769/zibreport.pdf</file>
  </doc>
  <doc>
    <id>3602</id>
    <completedYear>2013</completedYear>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>199</pageFirst>
    <pageLast>201</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>incollection</type>
    <publisherName>Schweizerbart Verlag, Stuttgart</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Landmark-based Statistical Shape Analysis</title>
    <parentTitle language="eng">Auxology - Studying Human Growth and Development url</parentTitle>
    <identifier type="url">http://www.schweizerbart.de/publications/detail/isbn/9783510652785</identifier>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Carl Martin Grewe</author>
    <editor>Michael Hermanussen</editor>
    <author>Hans Lamecker</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="FacialGrowth">FacialGrowth</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <collection role="projects" number="PelViz">PelViz</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>3645</id>
    <completedYear>2011</completedYear>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>506</pageFirst>
    <pageLast>506</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>other</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Digital morphometry: The Potential of Statistical Shape Models</title>
    <parentTitle language="eng">Anthropologischer Anzeiger. Journal of Biological and Clinical Anthropology</parentTitle>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Carl Martin Grewe</author>
    <author>Hans Lamecker</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="FacialGrowth">FacialGrowth</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>5545</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>poster</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Point Cloud Data</title>
    <parentTitle language="eng">15th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>David Wilson</author>
    <submitter>Stefan Zachow</submitter>
    <author>Pia Bücher</author>
    <author>Carl Martin Grewe</author>
    <author>Carolyn Anglin</author>
    <author>Stefan Zachow</author>
    <author>Dunbar Michael</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="JointKinematics">JointKinematics</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>5322</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>poster</type>
    <publisherName/>
    <publisherPlace>Las Vegas, Nevada</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Data</title>
    <parentTitle language="eng">Orthopedic Research Society Annual Meeting</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>David Wilson</author>
    <submitter>Carl Martin Grewe</submitter>
    <author>Pia Bücher</author>
    <author>Carl Martin Grewe</author>
    <author>Valentin Mocanu</author>
    <author>Carolyn Anglin</author>
    <author>Stefan Zachow</author>
    <author>Michael Dunbar</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="JointKinematics">JointKinematics</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6431</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2097</pageFirst>
    <pageLast>2105</pageLast>
    <pageNumber>9</pageNumber>
    <edition/>
    <issue>12</issue>
    <volume>12</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2017-06-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty</title>
    <abstract language="eng">Purpose: Despite the success of total knee arthroplasty there continues to be a significant proportion of patients who are dissatisfied.  One explanation may be a shape mismatch between pre and post-operative distal femurs. The purpose of this study was to investigate a method to match a statistical shape model (SSM) to intra-operatively acquired point cloud data from a surgical navigation system, and to validate it against the pre-operative magnetic resonance imaging (MRI) data from the same patients. &#13;
&#13;
Methods: A total of 10 patients who underwent navigated total knee arthroplasty also had an MRI scan less than 2 months pre-operatively. The standard surgical protocol was followed which included partial digitization of the distal femur. Two different methods were employed to fit the SSM to the digitized point cloud data, based on (1) Iterative Closest Points (ICP) and (2) Gaussian Mixture Models (GMM). The available MRI data were manually segmented and the reconstructed three-dimensional surfaces used as ground truth against which the statistical shape model fit was compared. &#13;
&#13;
Results: For both approaches, the difference between the statistical shape model-generated femur and the surface generated from MRI segmentation averaged less than 1.7 mm, with maximum errors occurring in less clinically important areas.&#13;
&#13;
Conclusion: The results demonstrated good correspondence with the distal femoral morphology even in cases of sparse data sets.  Application of this technique will allow for measurement of mismatch between pre and post-operative femurs retrospectively on any case done using the surgical navigation system and could be integrated into the surgical navigation unit to provide real-time feedback.</abstract>
    <parentTitle language="eng">International Journal of Computer Assisted Radiology and Surgery</parentTitle>
    <identifier type="doi">10.1007/s11548-017-1630-5</identifier>
    <identifier type="url">https://link.springer.com/content/pdf/10.1007%2Fs11548-017-1630-5.pdf</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="FulltextUrl">https://link.springer.com/content/pdf/10.1007%2Fs11548-017-1630-5.pdf</enrichment>
    <author>David Wilson</author>
    <submitter>Stefan Zachow</submitter>
    <author>Carolyn Anglin</author>
    <author>Felix Ambellan</author>
    <author>Carl Martin Grewe</author>
    <author>Alexander Tack</author>
    <author>Hans Lamecker</author>
    <author>Michael Dunbar</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="BMBF-TOKMIS">BMBF-TOKMIS</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <collection role="projects" number="MODAL-MedLab">MODAL-MedLab</collection>
    <collection role="projects" number="Modal-Seg">Modal-Seg</collection>
    <collection role="projects" number="Overload-PrevOP-SP4">Overload-PrevOP-SP4</collection>
    <collection role="persons" number="ambellan">Ambellan, Felix</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>5660</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>431</pageFirst>
    <pageLast>438</pageLast>
    <pageNumber/>
    <edition/>
    <issue>05</issue>
    <volume>31</volume>
    <type>article</type>
    <publisherName>Thieme Medical Publishers</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fast and Accurate Digital Morphometry of Facial Expressions</title>
    <parentTitle language="eng">Facial Plastic Surgery</parentTitle>
    <identifier type="doi">10.1055/s-0035-1564720</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Carl Martin Grewe</author>
    <submitter>Carl Martin Grewe</submitter>
    <author>Lisa Schreiber</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-CameraFacialis">IKG-CameraFacialis</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>8532</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>researchdata</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Release of the FexMM for the Open Virtual Mirror Framework</title>
    <abstract language="eng">THIS MODEL IS FOR NON-COMMERCIAL RESEARCH PURPOSES. ONLY MEMBERS OF UNIVERSITIES OR NON-COMMERCIAL RESEARCH INSTITUTES ARE ELIGIBLE TO APPLY.&#13;
&#13;
1. Download, fill, and sign the form available from:&#13;
&#13;
https://media.githubusercontent.com/media/mgrewe/ovmf/main/data/fexmm_license_agreement.pdf&#13;
&#13;
2. Send the signed form to: fexmm@zib.de&#13;
&#13;
NOTE: Use an official email address of your institution for the request.</abstract>
    <identifier type="doi">10.12752/8532</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <author>C. Martin Grewe</author>
    <submitter>Martin Grewe</submitter>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <collection role="projects" number="SPP-EMOTIC">SPP-EMOTIC</collection>
  </doc>
  <doc>
    <id>8504</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">The Open Virtual Mirror Framework for Enfacement Illusions - Enhancing the Sense of Agency With Avatars That Imitate Facial Expressions</title>
    <parentTitle language="deu">Behavior Research Methods</parentTitle>
    <identifier type="doi">10.3758/s13428-021-01761-9</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">25.11.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Carl Martin Grewe</author>
    <submitter>Martin Grewe</submitter>
    <author>Tuo Liu</author>
    <author>Andrea Hildebrandt</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-CameraFacialis">IKG-CameraFacialis</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <collection role="projects" number="SPP-EMOTIC">SPP-EMOTIC</collection>
  </doc>
  <doc>
    <id>8086</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber>13</pageNumber>
    <edition/>
    <issue/>
    <volume>2</volume>
    <type>article</type>
    <publisherName>Frontiers</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-04-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Statistical Learning of Facial Expressions Improves Realism of Animated Avatar Faces</title>
    <parentTitle language="eng">Frontiers in Virtual Reality</parentTitle>
    <identifier type="doi">10.3389/frvir.2021.619811</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">2021/01/26</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Carl Martin Grewe</author>
    <submitter>Martin Grewe</submitter>
    <author>Tuo Liu</author>
    <author>Christoph Kahl</author>
    <author>Hildebrandt Andrea</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="IKG-FacialMorphology">IKG-FacialMorphology</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <collection role="projects" number="SPP-EMOTIC">SPP-EMOTIC</collection>
  </doc>
</export-example>
