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Biometric Database


UFR: Identifying a Person of Interest from a Media Collection
http://biometrics.cse.msu.edu/pubs/databases.html
Michigan State University
United States
This dataset studied face identification of persons of interest in unconstrained imaging scenarios with uncooperative subjects. Given a face media collection of a person of interest (i.e., face images and video clips, 3D face models built from image(s) or video frame(s), face sketch, and demographic information), we have demonstrated an incremental improvement in the identification accuracy of a COTS face matching system. We believe this is of great value to forensic investigations and “lights out” watch list operations, as matching the entire probe collection outputs a single ranked list of candidate identities, rather than a ranked list for each face media sample. Evaluations are provided in the scenarios of closed set identification, open set identification, closed set identification with a large gallery, and verification.
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