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

Gietzen T, Brylka R, Achenbach J, zum Hebel K, Schömer E, Botsch M, Schwanecke U, Schulze R (2019)
PLOS ONE 14(1): e0210257.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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PLOS ONE
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14
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1
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e0210257
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Gietzen T, Brylka R, Achenbach J, et al. A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. PLOS ONE. 2019;14(1): e0210257.
Gietzen, T., Brylka, R., Achenbach, J., zum Hebel, K., Schömer, E., Botsch, M., Schwanecke, U., et al. (2019). A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. PLOS ONE, 14(1), e0210257. doi:10.1371/journal.pone.0210257
Gietzen, T., Brylka, R., Achenbach, J., zum Hebel, K., Schömer, E., Botsch, M., Schwanecke, U., and Schulze, R. (2019). A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. PLOS ONE 14:e0210257.
Gietzen, T., et al., 2019. A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. PLOS ONE, 14(1): e0210257.
T. Gietzen, et al., “A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness”, PLOS ONE, vol. 14, 2019, : e0210257.
Gietzen, T., Brylka, R., Achenbach, J., zum Hebel, K., Schömer, E., Botsch, M., Schwanecke, U., Schulze, R.: A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. PLOS ONE. 14, : e0210257 (2019).
Gietzen, Thomas, Brylka, Robert, Achenbach, Jascha, zum Hebel, Katja, Schömer, Elmar, Botsch, Mario, Schwanecke, Ulrich, and Schulze, Ralf. “A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness”. PLOS ONE 14.1 (2019): e0210257.

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