Program

Ramphaleng, T. K., Hemingway, J., Houlton, T. and Briers, N. – Clines of the African face

Buyukcakir, B., Claes, P.D., Vandermeulen, D. – A Contrastive Analysis of Attention In Dental Staging With Deep Learning: A Case Study

Claessens, N. Walsh, S., Shriver, M., Weinberg, S.M., Cattaneo, P.M., Penington, A. J., Claes, P.D. – A geometric deep learning model for synthetic aging and age estimation from 3D facial surface scans

Imaizumi, K., Usui, S., Hayakawa, H., Shiotani, S. and Nagata, T. – Development of machine-learning based sex estimation methods for the skull and several regions of the skull

Healy, S., Stephan, C.N. – Perspective distortion tolerances and skull-face registration in craniofacial superimposition

Martínez-García, V., Guativonza, M.A. , R-Garcia, G., Guerra, R., Villegas-Yeguas, A. D., Manzanares, A., Navarro, P.,, Valsecchi, A., Martinez, Moreno, P.,, Lugli, V. G. , Ibáñez, O. and Bermejo, E. – Craniofacial Superimposition using the Skeleton-ID software for Human Identification

Bermejo, E., Navarro, P., Lugli, V. , Manzanares, A. and Valsecchi, A. – Subject-to-camera distance estimation in facial photographs using Deep Learning and Machine Learning Methods.

Valsecchi, A., Martinez, P., Navarro, P., Lugli, V., Guerra, R., Guativonza, M.A., Martínez, V., R-García, G., Ibáñez, Ó., Mesejo, P. and Damas, S. – Advancements in Craniofacial Superimposition using Artificial Intelligence

R-García, G., Guerra, R., Valsecchi, A. and Ibáñez, O. – Proposal for the use of intraoral images for the identification of missing persons

Stephan, C.N. – Quality Literature Reviews Matter: A Case Study of 27 years of Misinformation in Forensic Facial Reconstruction and a New Path Forward (FFC)

Maclennan, M., Houlton, T.R.M. and Gomez Garcia-Donas, J. – For the Love of Good: Resurrecting the Lost Face Behind Damien Hirst’s “For the Love of God” Diamond-Encrusted Human Skull

Li, Y. – From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction

Hona, T.W.P.T. and Stephan, C.N. – Covariation of Facial Soft Tissue Thicknesses with Body Mass and Body Mass Index: Which one Yields Stronger Correlations?

Navarro-López B., Suárez-Ulloa V., Wilke F., Baeta M., Martos-Fernández R., Olalde I., Martínez-Jarreta B., Jiménez S., Walsh S. and de Pancorbo M.M. – From DNA to nose shape: integrating anthropological methods and quasi-landmark mesh analysis

Guerra, R., Guativonza, M.A.,Martínez-García, V., R-García, G., Ibáñez, Ó., Valsecchi, A., Bermejo, E., Manzanares, A., Villegas, A.D., Navarro, F., and Alemán, I. – Diving into new depths: Unveiling the positional relationship variation of hard and soft tissue across demographics

Matine, N., Davimes, J.G., Billings, BK. and Bacci, N. – Precision in Profiles: Investigating WFCS for forensic facial comparison in Black African male

Greenway, E.C.J., Wilkinson, C.M., Frowd, C.D. and Shrimpton, S. – Enhancing the potential for recognition in forensic facial depictions through variation in texture, display and finishing effects

Guativonza, M.A., Lugli, V:, Bermejo, E. and Ibáñez, I. – Introducing FI4CI: a Facial Image database

Burton, I., Wilkinson, C.M., Roberts, J. and Sudirman, S. – Post-mortem and ante-mortem 2D and 3D facial comparison for forensic identification

Urbanova, P., Goldmann, T. and Cerny, D. – Poses and Grimaces: Challenges for automated face identification algorithms?

Bacci, N., Briers, N. and Steyn, M. – Quantifying quality: Image quality effects on forensic facial comparison

Sergio Damas – Prof. at University of Granada and Scientific Director of the Foundation “AI Granada, Research & Innovation”

Sergio Castro – Police Officer at Spain’s National Police and member of the Facial Identification Group at the National Headquarters.

Caroline Wilkinson – Prof. of Craniofacial Identification and Director of the Forensic Research Institute (FORRI) at Liverpool John Moores University

Kazuhiko Imaizumi –Second Forensic Biology Section, National Research Institute of Police Science (NRIPS), Japan

Desirée Davis –Facial identification Team, Forensics Command, Australian Federal Police, Australia

Russ, H. – The Norwegian NCIS and our work with facial recognition and biometrics

Dickinson, R., Liu, C.Y.J., Parrott, E. and Roughley, M. – Comparison of the external ear using different 3D surface scanning solutions for forensic application

Navarro, P., Lugli, V. and Valsecchi, A. – Candidates filtering using photo-anthropometry and artificial intelligence under non-restrictive photographic conditions

Davis, D. – AI vs the Australian Federal Police

Gomez-Trenado, G., Mesejo, P., Cordon, Ó., and Lathuilière, S. – Custom Structure Preservation in Face Aging