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
Probabilistic recognition of human faces from video
TL;DR: A novel approach to recognize faces in video using classical Bayesian propagation over time and the probabilistic approach to handle uncertainties in a systematic manner is presented.
Proceedings ArticleDOI
Comparison of face verification results on the XM2VTFS database
Jiri Matas,M. Hamouz,Kenneth Jonsson,Josef Kittler,Yongping Li,Constantine Kotropoulos,Anastasios Tefas,Ioannis Pitas,Teewoon Tan,Hong Yan,Fabrizio Smeraldi,Josef Bigun,N. Capdevielle,Wulfram Gerstner,S. Ben-Yacoub,Y. Abeljaoued,E. Mayoraz +16 more
TL;DR: Results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000 are presented, featuring representatives of the most common approaches to face verification -elastic graph matching, Fisher's linear discriminant and support vector machines.
Journal ArticleDOI
eigenPulse: Robust human identification from cardiovascular function
TL;DR: The traditional biometrics' use of eigen analysis and previous analysis of cardiovascular function to yield a more robust approach had a near 100% enrollment rate, with a corresponding higher overall performance.
Journal ArticleDOI
3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching
TL;DR: This paper presents an effective method for 3-D face recognition using a novel geometric facial representation along with a local feature hybrid matching scheme that proves robust to facial expression variations, partial occlusions, and moderate pose changes and makes the system registration-free for nearly frontal face models.
References
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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
TL;DR: This paper describes the automatic selection of features from an image training set using the theories of multidimensional discriminant analysis and the associated optimal linear projection, and demonstrates the effectiveness of these most discriminating features for view-based class retrieval from a large database of widely varying real-world objects.
Journal ArticleDOI
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Baback Moghaddam,Alex Pentland +1 more
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