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DC poleHodnotaJazyk
dc.contributor.authorAlomar, Antonia
dc.contributor.authorMorales, Araceli
dc.contributor.authorPorras, Antonio R.
dc.contributor.authorLinguraru, Marius G.
dc.contributor.authorPiella, Gemma
dc.contributor.authorSukno, Federico
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-09-01T09:10:43Z
dc.date.available2022-09-01T09:10:43Z
dc.date.issued2022
dc.identifier.citationWSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 109-118.en
dc.identifier.isbn978-80-86943-33-6
dc.identifier.issn2464-4617
dc.identifier.urihttp://hdl.handle.net/11025/49584
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectdětské výrazy obličejecs
dc.subjectbi-lineární modelcs
dc.subjectautomatická neutralizace skenovánícs
dc.subjectpřenos obličejecs
dc.titleTransferring 3D facial expressions from adults to childrenen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedDiagnosis of craniofacial conditions is shifting towards pre- and peri-natal stages, since early assessment has shown to be crucial for the effective treatment of functional and developmental aspects of children. 3D Morphable Models are a valuable tool for such evaluation. However, limited data availability on 3D newborn geometry, and highly variable imaging environments, challenge the construction of 3D baby face models. Our hypothesis is that constructing a bi-linear baby face model that allows identity and expression decoupling, enables to improve craniofacial and brain function assessments. Thus, given that adult and infants facial expression configurations are very similar and that 3D facial expressions in babies are difficult to be scanned in a controlled manner, we propose transferring the facial expressions from the available FaceWarehouse (FW) database to baby scans, to construct a baby-specific bi-linear expression model. First, we defined a spatial mapping between the BabyFM and the FW. Then, we propose an automatic neutralization to remove the expressions from the facial scans. Finally, we apply expression transfer to obtain a complete data tensor. We test the performance and generalization of the resulting bi-linear model with a test set. Results show that the obtained model allow us to successfully and realistically manipulate facial expressions of babies while keeping them decoupled from identity variations.en
dc.subject.translatedbaby facial expressionsen
dc.subject.translatedbi-linear modelen
dc.subject.translatedautomatic scan neutralizationen
dc.subject.translatedface transferen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3201.14
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2022: Full Papers Proceedings

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
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