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
Gait Recognition With Shifted Energy Image and Structural Feature Extraction
TL;DR: A novel and efficient gait recognition system using two novel gait representations, i.e., the shifted energy image and the gait structural profile, which have increased robustness to some classes of structural variations.
Book ChapterDOI
Multi-biometrics 2d and 3d ear recognition
Ping Yan,Kevin W. Bowyer +1 more
TL;DR: Based on the results of three algorithms applied on 2D and 3D ear data, various multi-biometric combinations were considered, and all result in improvement over a single biometric.
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On transforming statistical models for non-frontal face verification
TL;DR: This work addresses the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training through extending each frontal face model with artificially synthesized models for non-frontal views.
Journal ArticleDOI
Index Codes for Multibiometric Pattern Retrieval
Aglika Gyaourova,Arun Ross +1 more
TL;DR: The proposed indexing scheme has the potential to substantially reduce the response time without compromising the accuracy of identification and can be easily extended to retrieve pertinent identities from multimodal databases.
Journal ArticleDOI
Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation
TL;DR: The authors present a robust face recognition system for large-scale data sets taken under uncontrolled illumination variations that shows an average of 81.49% verification rate on 2-D face images under various environmental variations such as illumination changes, expression changes, and time elapses.
References
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Journal ArticleDOI
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Baback Moghaddam,Alex Pentland +1 more
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