A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness

• Thomas Gietzen ,

  Roles Conceptualization, Software, Writing – original draft

  * E-mail: thomas.gietzen@hs-rm.de

  Affiliation Computer Vision and Mixed Reality Group, RheinMain University of Applied Sciences Wiesbaden Rüsselsheim, Wiesbaden, Germany

  http://orcid.org/0000-0003-1504-0606

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• Robert Brylka,

  Roles Conceptualization, Software, Writing – original draft

  Affiliation Computer Vision and Mixed Reality Group, RheinMain University of Applied Sciences Wiesbaden Rüsselsheim, Wiesbaden, Germany

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• Jascha Achenbach,

  Roles Conceptualization, Software, Writing – original draft

  Affiliation Computer Graphics Group, Bielefeld University, Bielefeld, Germany

  http://orcid.org/0000-0003-0888-3015

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• Katja zum Hebel,

  Roles Conceptualization, Resources, Writing – original draft

  Affiliation Department of Prosthetic Dentistry, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany

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• Elmar Schömer,

  Roles Conceptualization, Funding acquisition, Writing – original draft

  Affiliation Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany

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• Mario Botsch,

  Roles Conceptualization, Funding acquisition, Writing – original draft

  Affiliation Computer Graphics Group, Bielefeld University, Bielefeld, Germany

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• Ulrich Schwanecke,

  Roles Conceptualization, Funding acquisition, Project administration, Writing – original draft

  Affiliation Computer Vision and Mixed Reality Group, RheinMain University of Applied Sciences Wiesbaden Rüsselsheim, Wiesbaden, Germany

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• Ralf Schulze

  Roles Conceptualization, Funding acquisition, Writing – original draft

  Affiliation Section of Oral Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany

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