An automatic method for skeletal patterns classification using craniomaxillary variables on a Colombian population.

Journal: Forensic science international
Published Date: Apr 1, 2016

Abstract

BACKGROUND: The mandibular bone is an important part of the forensic facial reconstruction and it has the possibility of getting lost in skeletonized remains; for this reason, it is necessary to facilitate the identification process simulating the mandibular position only through craniomaxillary measures, for this task, different modeling techniques have been performed, but they only contemplate a straight facial profile that belong to skeletal pattern Class I, but the 24.5% corresponding to the Colombian skeletal patterns Class II and III are not taking into account, besides, craniofacial measures do not follow a parametric trend or a normal distribution.

Authors

  • Tania Camila Niño-Sandoval
    Universidad Nacional de Colombia - Bogotá. Faculty of Dentistry, Oral Health Department. Master of Dentistry. Craniofacial Growth and Development Research Group. Genetics Institute, Cll 53 - Cra. 37 Ed. 426 Of. 213. Bogotá Colombia. Electronic address: kotc2578@gmail.com.
  • Sonia V Guevara Perez
    Universidad Nacional de Colombia - Sede Bogotá. Faculty of Dentistry, Oral Health Department-Orthodontics. Craniofacial Growth and Development Research Group. 11001 Bogotá Colombia. Electronic address: svguevarap@unal.edu.co.
  • Fabio A González
    Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: fagonzalezo@unal.edu.co.
  • Robinson Andrés Jaque
    Universidad Nacional de Colombia - Bogotá, Faculty of Engineering, Computing Systems and Industrial Engineering Department, MindLab Research Group, Carrera 30 45-03, Bogotá Colombia. Electronic address: rajaquep@unal.edu.co.
  • Clementina Infante-Contreras
    Universidad Nacional de Colombia - Bogotá. Faculty of Dentistry, Oral Health Department. Master of Dentistry. Craniofacial Growth and Development Research Group. Genetics Institute, Cll 53 - Cra. 37 Ed. 426 Of. 213. Bogotá Colombia. Electronic address: ccontrerasi@unal.edu.co.

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