ArticlePloS one2018
Assessment of accuracy and recognition of three-dimensional computerized forensic craniofacial reconstruction.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- Advancement in Human Face Prediction Using DNA.Genes · 2023Pooled it
- Forensic facial approximation methodologies applied to the Brazilian population: a scoping review.International journal of legal medicine · 2026Article
- Deep learning-based 3D forensic facial reconstruction: a volumetric morphological inference approach using a skull-conditioned U-Net.International journal of legal medicine · 2026Article
- Utility of 3D facial reconstruction for forensic identification: a focus on facial soft tissue thickness and customized techniques.Forensic science, medicine, and pathology · 2025Article
- Periacetabular osteotomy using computed tomography-based navigation: preoperative planning and accuracy evaluation.International journal of computer assisted radiology and surgery · 2024Article
- The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing.Dento maxillo facial radiology · 2024Article
- A computerized facial approximation method for Homo sapiens based on facial soft tissue thickness depths and geometric morphometrics.Journal of anatomy · 2023Article
- Article
- Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification.Scientific reports · 2023Article
- Digital Reconstructions Using Linear Regression: How Well Can It Estimate Missing Shape Data from Small Damaged Areas?Biology · 2022Article
- Ethnic-Guided Soft Tissue Cephalometric Analysis on Lambani Indian Inhabitants for Forensic Facial Reconstruction.Cureus · 2022Article
- Article
- Violence in the Early Bronze Age. Diagnosis of skull lesions using anthropological, taphonomic and scanning electron microscopy techniques.Forensic science, medicine, and pathology · 2019Article
- A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness.PloS one · 2019Article
- Computer-Aided Facial Reconstruction of "Mary-Magdalene" Relics Following Hair and Skull Analyses.Clinical medicine insights. Ear, nose and throat · 2019Article
- Performance of sparse-view CT reconstruction with multi-directional gradient operators.PloS one · 2019Article
- [Use of diagnostic modalities for dentofacial imaging in forensic dentistry. Literature review].Revista cientifica odontologica (Universidad Cientifica del Sur)Review
- Clinical Applicability of Various Digital Softwares Used in Forensic Odontology for Age Estimation Using Teeth on Cone-beam Computed Tomography Imaging: A Systematic Review and Meta-Analysis.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Facial reconstruction is a technique that aims to reproduce the individual facial characteristics based on interpretation of the skull, with the objective of recognition leading to identification. The aim of this paper was to evaluate the accuracy and recognition level of three-dimensional (3D) computerized forensic craniofacial reconstruction (CCFR) performed in a blind test on open-source software using computed tomography (CT) data from live subjects. Four CCFRs were produced by one of the researchers, who was provided with information concerning the age, sex, and ethnic group of each subject. The CCFRs were produced using Blender® with 3D models obtained from the CT data and templates from the MakeHuman® program. The evaluation of accuracy was carried out in CloudCompare, by geometric comparison of the CCFR to the subject 3D face model (obtained from the CT data). A recognition level was performed using the Picasa® recognition tool with a frontal standardized photography, images of the subject CT face model and the CCFR. Soft-tissue depth and nose, ears and mouth were based on published data, observing Brazilian facial parameters. The results were presented from all the points that form the CCFR model, with an average for each comparison between 63% and 74% with a distance -2.5 ≤ x ≤ 2.5 mm from the skin surface. The average distances were 1.66 to 0.33 mm and greater distances were observed around the eyes, cheeks, mental and zygomatic regions. Two of the four CCFRs were correctly matched by the Picasa® tool. Free software programs are capable of producing 3D CCFRs with plausible levels of accuracy and recognition and therefore indicate their value for use in forensic applications.
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