Biometric Database

Title:

UFR: Identifying a Person of Interest from a Media Collection

Website:

http://biometrics.cse.msu.edu/pubs/databases.html

Managing Organization:

Michigan State University

Contributing Organizations:

Country:

United States

Description:

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.

SubjectsDescription:

SpecialNotes:

Status:

Active

Access Requirements:

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