Marta graduated in Dentistry at the Pontifical Catholic University of Parana (Brazil) and specialises in Forensic Odontology and Dental Prosthodontics. She gained her MSc in Oral Biology and a PhD in Forensic Odontology at the University of Sao Paulo (Brazil). Her research focuses on the comparison of facial and ear structures through the analysis of 2D and 3D images for human identification purposes. As a member of the Face Lab research group, she is developing research on deep faces and real-time 3D facial animation.
Marta has previously worked as an invited lecturer of the training course in Facial and Ear Image Comparisons at the National Institute of Criminalistics of the Brazilian Federal Police and she is an author and co-author of technical materials that support this organization in training forensic examiners.
She is a professional member of the Facial Identification Scientific Working Group (FISWG) and holds a Facial Identification training from Ideal Innovations, Inc. (USA).
Face Lab is part of the Institute of Art and Technology (IAT) at Liverpool School of Art and Design. Face Lab focuses on digital creative research. Face Lab explores faces and art-science applications, including craniofacial analysis, 3D/4D facial depiction and animation, and forensic art, using state of the art technology.
Liu C, Wilkinson C, Pinheiro Flores M. Rubens Painting comparison Facial Comparison Report :1-13
Pinheiro Flores M, Machado CEP, Gallidabino MD, Arruda GHMD, da Silva RHA, Vidal FDB, Melani RFH. Comparative Assessment of a Novel Photo‐Anthropometric Landmark‐Positioning Approach for the Analysis of Facial Structures on Two‐Dimensional Images Journal of Forensic Sciences, DOI
Porto LF, Lima LNC, Pinheiro Flores M, Valsecchi A, Ibanez O, Machado CEP, Vidal FDB. Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques Digital Investigation, DOI
Borges DL, Vidal FDB, Pinheiro Flores M, Melani RFH, Guimaraes MA, Machado CEP. Photoanthropometric face iridial proportions for age estimation: An investigation using features selected via a joint mutual information criterion Forensic Science International, DOI