Title :
The FERET evaluation methodology for face-recognition algorithms
Author :
Phillips, P. Jonathon ; Moon, Hyeonjoon ; Rauss, Patrick ; Rizvi, Syed A.
Author_Institution :
US Army Res. Lab., Adelphi, MD, USA
Abstract :
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1199 individuals are included in the FERET database, which is divided into development and sequestered portions. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to (1) assess the state of the art, (2) identify future areas of research, and (3) measure algorithm performance on large databases
Keywords :
face recognition; visual databases; FERET evaluation methodology; Face Recognition Technology; algorithm performance; face-recognition algorithms; facial images database; Computer vision; Data engineering; Face recognition; Image databases; Image recognition; Laboratories; Military computing; Milling machines; Powders; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609311
