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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Journal ArticleDOI
Face‐likeness and image variability drive responses in human face‐selective ventral regions
TL;DR: These studies provide novel evidence that face‐selective responses correlate with the perceived face‐likeness of stimuli, but this effect is revealed only when image variability is controlled across conditions, and show that variability is a powerful factor that drives responses across the ventral stream.
Proceedings ArticleDOI
The POSTECH face database (PF07) and performance evaluation
Hyoung-Soo Lee,Sungsoo Park,Bong-Nam Kang,Jongju Shin,Ju Young Lee,Je Hongmo,Bongjin Jun,Daijin Kim +7 more
TL;DR: A face database POSTECH face database (PF07) is constructed, which contains the true-color face images of 200 people, 100 men and 100 women, representing 320 various images per person.
Journal ArticleDOI
Precise localization of eye centers in low resolution color images
TL;DR: This paper introduces an automatic, non-intrusive method for precise eye center localization in low resolution images, acquired from single low-cost cameras, that uses color information to derive a novel eye map that emphasizes the iris area and a radial symmetry transform which operates both on the original eye images and the eye map.
Journal ArticleDOI
Validating a two-high-threshold measurement model for confidence rating data in recognition
TL;DR: Comparisons with SDT show that both models behave similarly, a case that highlights the notion that both modelling approaches can be valuable (and complementary) elements in a researcher's toolbox.
Proceedings ArticleDOI
Discriminant image filter learning for face recognition with local binary pattern like representation
Zhen Lei,Dong Yi,Stan Z. Li +2 more
TL;DR: This paper proposes to learn the discriminative image filter to improve the discriminant power of the LBP like feature and a coupled discriminant image filters learning method is proposed to deal with the heterogenous face images matching problem by reducing the feature gap between the heterogeneous images.
References
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Journal ArticleDOI
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