A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
MetadataShow full item record
Forensic medicineForensic anthropologyForensic imagingSkeleton-based forensic identificationMachine learningComputer visionSoft computingBiological profilingComparative radiographyCraniofacial identification
Mesejo, P., Martos, R., Ibáñez, Ó., Novo, J., & Ortega, M. (2020). A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification. Applied Sciences, 10(14), 4703. [doi: 10.3390/app10144703]
SponsorshipSpanish Ministry of Science, Innovation and Universities; European Union (EU) PGC2018-101216-B-I00; Regional Government of Andalusia under grant EXAISFI P18-FR-4262; Instituto de Salud Carlos III; European Union (EU) DTS18/00136; European Commission H2020-MSCA-IF-2016 through the Skeleton-ID Marie Curie Individual Fellowship 746592; Spanish Ministry of Science, Innovation and Universities-CDTI, Neotec program 2019 EXP-00122609/SNEO-20191236; European Union (EU); Xunta de Galicia ED431G 2019/01; European Union (EU) RTI2018-095894-B-I00
This paper represents the first survey on the application of AI techniques for the analysis of biomedical images with forensic human identification purposes. Human identification is of great relevance in today’s society and, in particular, in medico-legal contexts. As consequence, all technological advances that are introduced in this field can contribute to the increasing necessity for accurate and robust tools that allow for establishing and verifying human identity. We first describe the importance and applicability of forensic anthropology in many identification scenarios. Later, we present the main trends related to the application of computer vision, machine learning and soft computing techniques to the estimation of the biological profile, the identification through comparative radiography and craniofacial superimposition, traumatism and pathology analysis, as well as facial reconstruction. The potentialities and limitations of the employed approaches are described, and we conclude with a discussion about methodological issues and future research.
Showing items related by title, author, creator and subject.