A smile I could recognise in a thousand: Automatic identification of identity from dental radiography

2020/01/14 by Oscar de Felice, de Felice, Oscar, Gustavo de Felice +1
Arts and Humanities · Computer Science · Dentistry · #Computer Vision and Pattern Recognition (cs.CV) #Dental Radiography and Imaging #FOS: Computer and information sciences #Forensic Anthropology and Bioarchaeology Studies #Image Processing and 3D Reconstruction

paper · pdf · doi:10.48550/arxiv.2001.05006

openalex publication_date 2020/01/14 · openalex created_date 2020/01/23 · openalex updated_date 2026/07/28

Abstract

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.

Citations

• Distinctive Image Features from Scale-Invariant Keypoints

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