A smile I could recognise in a thousand: Automatic identification of identity from dental radiography
This addresses the need for efficient and automated identity verification in forensic and medical contexts, particularly for disaster response, but appears to be an incremental application of existing computer vision techniques to a specific domain.
The paper tackles the problem of automatically identifying a patient's identity from dental radiographs by matching image features extracted via computer vision algorithms, with the primary application being victim identification in mass disasters.
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.