Comparative Assessment of a novel photo-anthropometric landmark-positioning approach for the analysis of facial structures on two-dimensional images

Marta R.P. Flores*, Carlos E.P. Machado, Matteo D. Gallidabino, Gustavo H.M. de Arruda, Ricardo H.A. da Silva, Flávio B. de Vidal, Rodolfo F.H. Melani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
32 Downloads (Pure)

Abstract

Positioning landmarks in facial photo-anthropometry (FPA) applications remains today a highly variable procedure, as traditional cephalometric definitions are used as guidelines. Herein, a novel landmark-positioning approach, specifically adapted for FPA applications, is introduced and, in particular, assessed against the conventional cephalometric definitions for the analysis of 16 landmarks on ten frontal images by two groups of examiners (with and without professional knowledge of anatomy). Results showed that positioning reproducibility was significantly better using the novel method. Indeed, in contrast to the classic approach, very low landmark dispersions were observed for both groups of examiners, which were usually below the strictest clinical standards (i.e., 0.575 mm). Furthermore, the comparison between the two groups of examiners highlighted higher dispersion consistencies, which supported a higher robustness. Thus, the use of an adapted landmark-positioning approach proved to be highly advantageous in FPA analysis and future work in this field should consider adopting similar methodologies.

Original languageEnglish
Pages (from-to)828-838
JournalJournal of Forensic Sciences
Volume64
Issue number3
Early online date17 Oct 2018
DOIs
Publication statusPublished - May 2019

Keywords

  • anthropometry
  • cephalometry
  • facial analysis
  • facial identification
  • facial image
  • forensic science

Fingerprint

Dive into the research topics of 'Comparative Assessment of a novel photo-anthropometric landmark-positioning approach for the analysis of facial structures on two-dimensional images'. Together they form a unique fingerprint.

Cite this