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
More filters
Journal ArticleDOI
Kernel quadratic discriminant analysis for small sample size problem
TL;DR: A novel kernel-based QDA method is proposed to further relax the Gaussian assumption by using the kernel machine technique, and at the same time, tackles the so-called small sample size problem through a regularized estimation of the covariance matrix.
Dissertation
Multi-scale Local Binary Pattern histogram for face recognition
TL;DR: A novel discriminative face representation derived by the Linear Discriminant Analysis of multi-scale local binary uniform pattern histograms is proposed for face recognition and implemented and tested in face identification and in face verification on the XM2VTS database with very promising results.
Proceedings ArticleDOI
Appearance-based statistical methods for face recognition
TL;DR: An overview of most popular statistical subspace methods for face recognition task is given and theoretical aspects of three algorithms will be considered and some reported performance evaluations will be given.
Journal ArticleDOI
Multiplicative updates for non-negative projections
Zhirong Yang,Jorma Laaksonen +1 more
TL;DR: The derivation of the approach provides a sound interpretation of learning non-negative projection matrices based on iterative multiplicative updates-a kind of Hebbian learning with normalization.
Journal ArticleDOI
Multimodal biometrics for identity documents ( )
TL;DR: This research report gives the main definitions, properties and the framework of use related to biometricrics, an overview of the main standards developed in the biometric industry and standardisation organisations to ensure interoperability, as well as some of the legal framework and the issues associated to biometrics such as privacy and personal data protection.
References
More filters
Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Journal ArticleDOI
Face recognition by elastic bunch graph matching
TL;DR: A system for recognizing human faces from single images out of a large database containing one image per person, based on a Gabor wavelet transform, which is constructed from a small get of sample image graphs.
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
Using discriminant eigenfeatures for image retrieval
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
Probabilistic visual learning for object representation
Baback Moghaddam,Alex Pentland +1 more
TL;DR: An unsupervised technique for visual learning is presented, which is based on density estimation in high-dimensional spaces using an eigenspace decomposition and is applied to the probabilistic visual modeling, detection, recognition, and coding of human faces and nonrigid objects.