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The FERET evaluation methodology for face recognition algorithms
| Venue: | In (a) Example 1 (b) Example 1 (c) Right ear) (d) Mirroed Left ear |
| Citations: | 1116 - 26 self |
BibTeX
@INPROCEEDINGS{Phillips_theferet,
author = {P. Jonathon Phillips and Hyeonjoon Moon and Syed A. Rizvi and Patrick J. Rauss},
title = {The FERET evaluation methodology for face recognition algorithms},
booktitle = {In (a) Example 1 (b) Example 1 (c) Right ear) (d) Mirroed Left ear},
year = {}
}
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Abstract
AbstractÐTwo 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 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. 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. Index TermsÐFace recognition, algorithm evaluation, FERET database. 1
Keyphrases
feret evaluation methodology feret database face recognition algorithm facial image algorithm evaluation measure algorithm performance future area feret test large database feret face-recognition test third test feret program critical requirement reliable face-recognition system index term face recognition testing procedure face recognition technology primary objective
