In this paper, we present a method to automatically compare multiple radiographs in order to find the identity of a patient out of the dental features. The method is based on the matching of image features, previously extracted by computer vision algorithms for image descriptor recognition. The principal application (being also our motivation to study the problem) of such a method would be in victim identification in mass disasters.
@article{arxiv.2001.05006,
title = {A smile I could recognise in a thousand: Automatic identification of identity from dental radiography},
author = {Oscar de Felice and Gustavo de Felice},
journal= {arXiv preprint arXiv:2001.05006},
year = {2020}
}