• DocumentCode
    3610727
  • Title

    CraMs: Craniometric Analysis Application Using 3D Skull Models

  • Author

    Potel, Mike ; Neves, Luis ; Santos, Daniel ; Coelho, Catarina ; Ferreira, Maria Teresa ; Santos, Helder ; Silva, Samuel ; Santos, Beatriz Sousa

  • Volume
    35
  • Issue
    6
  • fYear
    2015
  • Firstpage
    11
  • Lastpage
    17
  • Abstract
    Craniometric analysis plays an important role in anthropology studies and forensics. This paper presents CraMs, an application using a new craniometric approach based on 3D models of the skull. The main objective is to obtain, through a process supervised by anthropologists, the main points of interest used to compute craniometric measurements. The application aids this process by analyzing the skull geometry and automatically providing points of interest. The application also allows for semiautomatic point detection, where the user provides an initial guess that might be refined based on the curvature of the skull, as well as the manual selection of any other points of interest. Moreover, results comparing measurements obtained with CraMs and traditional craniometry methods on eight skulls suggest that the application provides comparable craniometric measurements and lower inter-observer variability. This approach offers advantages such as an easier access to skulls with no risk of bone damage and the possibility of defining new measurements based on morphology or other skull characteristics, which are not possible using traditional methods.
  • Keywords
    anthropology; bone; forensic science; solid modelling; 3D skull models; CraMs; anthropology studies; craniometric analysis application; craniometric measurements; forensics; manual selection; semiautomatic point detection; skull geometry; Analytical models; Anthropology; Extraterrestrial measurements; Measurement uncertainty; Skull; Solid modeling; Three-dimensional displays; 3D models; computer graphics; craniometry; feature detection; graphics applications; morphology;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2015.136
  • Filename
    7331171