A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification

P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega - Applied Sciences, 2020 - mdpi.com
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 …

[PDF][PDF] Current research opportunities for image processing and computer vision

A Gupta - Computer Science, 2019 - bibliotekanauki.pl
Image processing and computer vision is an important and essential area in today's
scenario. Several problems can be solved through computer vision techniques. There are a …

Convolution neural network based automatic localization of landmarks on lateral x-ray images

RA Ramadan, AY Khedr, K Yadav, EJ Alreshidi… - Multimedia Tools and …, 2022 - Springer
Cephalometric analysis is very essential for the patient having dentofacial and craniofacial
deformities. The manual localization of the cephalometric landmarks is also important and …

Application of intraoral scanner to identify monozygotic twins

B Simon, L Lipták, K Lipták, ÁD Tárnoki, DL Tárnoki… - BMC Oral Health, 2020 - Springer
Background DNA base identification is a proper and high specificity method. However,
identification could be challenged in a situation where there is no database or the DNA …

Study on the performance of different craniofacial superimposition approaches (II): best practices proposal

S Damas, C Wilkinson, T Kahana… - Forensic science …, 2015 - Elsevier
Craniofacial superimposition, although existing for one century, is still a controversial
technique within the scientific community. Objective and unbiased validation studies over a …

Perspective distortion tolerances and skull-face registration in craniofacial superimposition: An analytical review

SS Healy, CN Stephan - International Journal of Legal Medicine, 2023 - Springer
Craniofacial superimposition requires the photographic registration of a skull at
transparency to a photograph of an antemortem (AM) face so that anatomical concordance …

[PDF][PDF] Convolutional neural network classification on 2d craniofacial images

J Gowrishankar, T Narmadha… - … Journal of Grid and …, 2020 - researchgate.net
This study presents a craniofacial superimposition consisting of filtering, feature extraction,
classification for skull modeling. Initially, the Gaussian filter removes the noise and Otsu …

Hierarchical information fusion for decision making in craniofacial superimposition

C Campomanes-Alvarez, O Ibáñez, O Cordón… - Information …, 2018 - Elsevier
Craniofacial superimposition is one of the most important skeleton-based identification
methods. The process studies the possible correspondence between a found skull and a …

Facial soft tissue thickness differences among different vertical facial patterns

M Saadeh, H Fayyad-Kazan, R Haddad… - Forensic Science …, 2020 - Elsevier
In forensic facial approximation, facial soft tissue thickness (FSTT) measurements play a
major role. These values are affected by many factors such as ethnicity, age and sex, in …

3D-2D silhouette-based image registration for comparative radiography-based forensic identification

O Gómez, O Ibánez, A Valsecchi, O Cordón… - Pattern Recognition, 2018 - Elsevier
Comparative radiography is a forensic identification technique traditionally involving the
manual comparison of ante-mortem and post-mortem radiographs, thus being time …