26 February 1997 FERET (Face Recognition Technology) program
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Proceedings Volume 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision; (1997) https://doi.org/10.1117/12.267831
Event: 25th Annual AIPR Workshop on Emerging Applications of Computer Vision, 1996, Washington, DC, United States
The mission of the Department of Defense Counter-drug Technology Development Program Office's face recognition technology (FERET) program is to develop automatic face- recognition systems for intelligence and law enforcement applications. To achieve this objective, the program supports research in face-recognition algorithms, the collection of a large database of facial images, independent testing and evaluation of face-recognition algorithms, construction of real-time demonstration systems, and the integration of algorithms into the demonstration systems. The FERET program has established baseline performance for face recognition. The Army Research Laboratory (ARL) has been the program's technical agent since 1993, managing development of the recognition algorithms, database collection, and conduction algorithm testing and evaluation. Currently, ARL is managing the development of several prototype face-recognition systems that will demonstrate complete real-time video face identification in an access control scenario. This paper gives an overview of the FERET program, presents performance results of the face- recognition algorithms evaluated, and addresses the future direction of the program and applications for DoD and law enforcement.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick J. Rauss, Patrick J. Rauss, Jonathan Phillips, Jonathan Phillips, Mark K. Hamilton, Mark K. Hamilton, A. Trent DePersia, A. Trent DePersia, "FERET (Face Recognition Technology) program", Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); doi: 10.1117/12.267831; https://doi.org/10.1117/12.267831


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