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.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 3.62 MB
DOI
URN
urn:nbn:de:0070-pub-29334668
Autor*in
Gietzen, Thomas; Brylka, Robert; Achenbach, JaschaUniBi; zum Hebel, Katja; Schömer, Elmar; Botsch, MarioUniBi ; Schwanecke, Ulrich; Schulze, Ralf
Einrichtung
Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > AG Computergrafik und Geometrieverarbeitung
Erscheinungsjahr
2019
Zeitschriftentitel
PLOS ONE
Band
14
Ausgabe
1
Art.-Nr.
e0210257
Urheberrecht / Lizenzen
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0)
ISSN
1932-6203
Page URI
https://pub.uni-bielefeld.de/record/2933466

Zitieren

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, Thomas, Brylka, Robert, Achenbach, Jascha, zum Hebel, Katja, Schömer, Elmar, Botsch, Mario, Schwanecke, Ulrich, and Schulze, Ralf. 2019. “A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness”. PLOS ONE 14 (1): e0210257.
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.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
cc_by_4_0
https://creativecommons.org/licenses/by/4.0/deed.de
https://creativecommons.org/licenses/by/4.0/legalcode.de
Volltext(e)
Name
3.62 MB
Access Level
OA Open Access
Zuletzt Hochgeladen
2020-12-03T07:56:20Z
MD5 Prüfsumme
6fa9b746e7b271df2f40e5a23e1abb84


27 References

Daten bereitgestellt von Europe PubMed Central.

Statistically Deformable Face Models for Cranio-Facial Reconstruction
AUTHOR UNKNOWN, 2006
Facial reconstruction--anatomical art or artistic anatomy?
Wilkinson C., J. Anat. 216(2), 2010
PMID: 20447245
A novel method of automated skull registration for forensic facial approximation.
Turner WD, Brown RE, Kelliher TP, Tu PH, Taister MA, Miller KW., Forensic Sci. Int. 154(2-3), 2005
PMID: 16140487

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Densely calculated facial soft tissue thickness for craniofacial reconstruction in Chinese adults.
Shui W, Zhou M, Deng Q, Wu Z, Ji Y, Li K, He T, Jiang H., Forensic Sci. Int. 266(), 2016
PMID: 27544400
A PCA-Based method for determining craniofacial relationship and sexual dimorphism of facial shapes.
Shui W, Zhou M, Maddock S, He T, Wang X, Deng Q., Comput. Biol. Med. 90(), 2017
PMID: 28918063
Facial soft tissue depths in craniofacial identification (part I): An analytical review of the published adult data.
Stephan CN, Simpson EK., J. Forensic Sci. 53(6), 2008
PMID: 18783476
Reproducibility of Facial Soft Tissue Thickness Measurements Using Cone-Beam CT Images According to the Measurement Methods.
Hwang HS, Choe SY, Hwang JS, Moon DN, Hou Y, Lee WJ, Wilkinson C., J. Forensic Sci. 60(4), 2015
PMID: 25845397
Marching Cubes: A High Resolution 3D Surface Construction Algorithm
AUTHOR UNKNOWN, 1987

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
A Method for Registration of 3-D Shapes
AUTHOR UNKNOWN, 1992

AUTHOR UNKNOWN, 2015

AUTHOR UNKNOWN, 2017

AUTHOR UNKNOWN, 0
A standardized nomenclature for craniofacial and facial anthropometry.
Caple J, Stephan CN., Int. J. Legal Med. 130(3), 2015
PMID: 26662189
2018 tallied facial soft tissue thicknesses for adults and sub-adults.
Stephan CN., Forensic Sci. Int. 280(), 2017
PMID: 28988069

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Closed-form solution of absolute orientation using unit quaternions
AUTHOR UNKNOWN, 1987
Reanimating the Dead: Reconstruction of Expressive Faces from Skull Data
AUTHOR UNKNOWN, 2003
Prediction of nasal morphology from the skull.
Rynn C, Wilkinson CM, Peters HL., Forensic Sci Med Pathol 6(1), 2010
PMID: 19924578
Soft-tissue thickness of South Korean adults with normal facial profiles.
Cha KS., Korean J Orthod 43(4), 2013
PMID: 24015387
The emerging soft tissue paradigm in orthodontic diagnosis and treatment planning.
Ackerman JL, Proffit WR, Sarver DM., Clin Orthod Res 2(2), 1999
PMID: 10534979
Facial soft tissue thickness differences among three skeletal classes in Japanese population.
Utsuno H, Kageyama T, Uchida K, Kibayashi K., Forensic Sci. Int. 236(), 2014
PMID: 24509238
Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction.
Miranda GE, Wilkinson C, Roughley M, Beaini TL, Melani RFH., PLoS ONE 13(5), 2018
PMID: 29718983
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 30673719
PubMed | Europe PMC

Suchen in

Google Scholar