Picasa for windows 10 surface6/21/2023 ![]() ![]() Of 3D reconstructions, 96.6% were recognized simply as a face by the software (95% lower CL, 83.5%). All study subject photographs were matched correctly to identical photographs (95% lower CL, 88.6%). Of 3D reconstructions, 27.5% were matched correctly to corresponding photographs (95% upper CL, 40.1%). As an internal control, photographs of all subjects were tested for recognition against an identical photograph. In phases 2–4, additional photographs were added in groups of 50 to increase the pool of possible matches and the test for recognition was repeated. In phase 1, photographs of the 29 subjects undergoing CT scans were added to a digital directory and tested for recognition using facial recognition software. Facial reconstructions of each CT dataset were generated on a 3D workstation. In a prospective study, 29 subjects underwent CT scans of the head and had frontal digital photographs of their face taken. This study assessed the ability of a computer application to match research subjects’ 3D facial reconstructions with conventional photographs of their face. Surface reconstructions of the face have the potential to reveal a subject’s identity even when textual PHI is absent. Image de-identification has focused on the removal of textual protected health information (PHI). ![]()
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