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

Castaneyra Ruiz, M. , Bikker, J. Pavlidis, P.and Wilkinson, C.M. – Validation of craniofacial analysis as a means to facilitate deceased migrant identification along the Greek-Turkish migratory route in Evros, Northern Greece

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

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)

Santos, L.V., Machado, C.R., Curi, J.P., Chilvarquer, I., Melani, R.F.H. and Beaini, T.L. – Machine Learning for Accurate Eyeball Placement Using CBCTt Scans in the Brazilian Population

Utsuno, H., Garry, M., Hanafi, S., Namiki,S., Aoki, N., Uemura, Y., Yamada, S., Saitoh H., , Minegishi, S., Makino Y., Iwase, H. and Sakurada, K. – The observation of the ear morphology for facial reconstruction (approximation)

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

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

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

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

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

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 –SFacial identification Team, Forensics Command, Australian Federal Police, Australia

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

Briers, N., Bacci, N., Steyn, M. and Houlton, T.M.R. – FISWG facial feature visibility and its influence on the success of forensic facial comparison by morphological analysis

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

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