Computer‑aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish‑Lithuanian January Uprising (1863–1864)
Metadatos
Afficher la notice complèteEditorial
Springer
Materia
Skull-face overlay Craniofacial superimposition Craniofacial identification Forensic anthropology Artificial intelligence
Date
2022-12-15Referencia bibliográfica
Martos, R... [et al.]. Computer-aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish-Lithuanian January Uprising (1863–1864). Int J Legal Med (2022). [https://doi.org/10.1007/s00414-022-02929-4]
Patrocinador
CRUE-CSIC; Spanish Government Junta de Andalucia CONFIA 2021/C005/00141299 EXAISFI PID2021-122916NB-I00; Centro de Investigacion de Galicia "CITIC" - Xunta de Galicia P18-FR-4262; European Union (European Regional Development Fund-Galicia 2014-2020 Program); Ministry of Science, ICT & Future Planning, Republic of Korea ED431G 2019/01; Universidade da Cor una/CISUG RYC2020-029454-IRésumé
In 2017, a series of human remains corresponding to the executed leaders of the “January Uprising” of 1863–1864 were
uncovered at the Upper Castle of Vilnius (Lithuania). During the archeological excavations, 14 inhumation pits with the
human remains of 21 individuals were found at the site. The subsequent identification process was carried out, including
the analysis and cross-comparison of post-mortem data obtained in situ and in the lab with ante-mortem data obtained from
historical archives. In parallel, three anthropologists with diverse backgrounds in craniofacial identification and two students
without previous experience attempted to identify 11 of these 21 individuals using the craniofacial superimposition technique.
To do this, the five participants had access to 18 3D scanned skulls and 14 photographs of 11 different candidates.
The participants faced a cross-comparison problem involving 252 skull-face overlay scenarios. The methodology follows the
main agreements of the European project MEPROCS and uses the software Skeleton-ID™. Based on MEPROCS standard,
a final decision was provided within a scale, assigning a value in terms of strong, moderate, or limited support to the claim
that the skull and the facial image belonged (or not) to the same person for each case. The problem of binary classification,
positive/negative, with an identification rate for each participant was revealed. The results obtained in this study make the
authors think that both the quality of the materials used and the previous experience of the analyst play a fundamental role
when reaching conclusions using the CFS technique.