Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TLDR
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.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 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.read more
Citations
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Proceedings ArticleDOI
Autotagging Facebook: Social network context improves photo annotation
TL;DR: It is demonstrated that the simple method of enhancing face recognition with social network context substantially increases recognition performance beyond that of a baseline face recognition system.
Journal ArticleDOI
Gait flow image
TL;DR: The experimental results show that the proposed gait representation-gait flow image GFI is stronger in resisting the difference of the carrying condition compared with other gait representations.
Patent
Vehicular monitoring systems using image processing
TL;DR: In this paper, an active pixel camera can be arranged in a headliner, roof or ceiling of a vehicle to obtain images of an interior environment of the vehicle, or in a roof, ceiling, B-pillar or C-pillar of vehicle behind a front seat of vehicle.
Book ChapterDOI
Face Recognition in Subspaces
TL;DR: This chapter describes in roughly chronologic order techniques that identify, parameterize, and analyze linear and nonlinear subspaces, from the original Eigenfaces technique to the recently introduced Bayesian method for probabilistic similarity analysis.
Journal ArticleDOI
Face recognition with visible and thermal infrared imagery
TL;DR: Analysis reveals that under many circumstances, using thermal infrared imagery yields higher performance, while in other cases performance in both modalities is equivalent, and provides a partial explanation for the multiple contradictory claims in the literature regarding performance of various algorithms on visible data sets.
References
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Journal ArticleDOI
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Journal ArticleDOI
The FERET database and evaluation procedure for face-recognition algorithms
TL;DR: The FERET evaluation procedure is an independently administered test of face-recognition algorithms to allow a direct comparison between different algorithms and to assess the state of the art in face recognition.
Journal ArticleDOI
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D.L. Swets,Juyang Weng +1 more
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Journal ArticleDOI
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Baback Moghaddam,Alex Pentland +1 more
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