title: Ground truth data generation for skull-face overlay.
abstract: Objective and unbiased validation studies over a significant number of cases are required to get a more solid picture on craniofacial superimposition reliability. It will not be possible to compare the performance of existing and upcoming methods for craniofacial superimposition without a common forensic database available for the research community. Skull-face overlay is a key task within craniofacial superimposition that has a direct influence on the subsequent task devoted to evaluate the skull-face relationships. In this work, we present the procedure to create for the first time such a dataset. We have also created a database with 19 skull-face overlay cases for which we are trying to overcome legal issues that allow us to make it public. The quantitative analysis made in the segmentation and registration stages, together with the visual assessment of the 19 face-to-face overlays, allows us to conclude that the results can be considered as a gold standard. With such a ground truth dataset, a new horizon is opened for the development of new automatic methods whose performance could be now objectively measured and compared against previous and future proposals. Additionally, other uses are expected to be explored to better understand the visual evaluation process of craniofacial relationships in craniofacial identification. It could be very useful also as a starting point for further studies on the prediction of the resulting facial morphology after corrective or reconstructive interventionism in maxillofacial surgery.
authors.affiliation: Department of Computer Science and Artificial Intelligence, University of Granada, 18014, Granada, Spain, oscar.ibanez@decsai.ugr.es.
authors.forename: O
authors.initials: O
authors.lastname: Ibáñez
authors.forename: F
authors.initials: F
authors.lastname: Cavalli
authors.forename: B R
authors.initials: BR
authors.lastname: Campomanes-Álvarez
authors.forename: C
authors.initials: C
authors.lastname: Campomanes-Álvarez
authors.forename: A
authors.initials: A
authors.lastname: Valsecchi
authors.forename: M I
authors.initials: MI
authors.lastname: Huete
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional; D061330:Multidetector Computed Tomography / Q000379:methods; D010781:Photography; D012886:Skull / Q000033:anatomy & histology*