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
Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits
TL;DR: This paper investigates the face recognition performance degradation with respect to age intervals between the probe and gallery images on a very large database which contains about 55,000 face images of more than 13,000 individuals and studies if soft biometric traits could be used to improve the cross-age face recognition accuracies.
Journal ArticleDOI
Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition
TL;DR: An encoding scheme is devised that compresses high-dimensional dense features into a compact representation by maximizing the intrauser correlation and an adaptive feature matching algorithm is developed for effective classification.
Journal ArticleDOI
Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition
TL;DR: A new means of filter diversification, dubbed multi-fold filter convolution, for face recognition, substantiate that the 2-FFC descriptors prevail over, or on par with, other face descriptors on both identification and verification tasks.
Book ChapterDOI
On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation
Sébastien Marcel,Chris McCool,Pavel Matějka,Timo Ahonen,Jan Cernocký,Shayok Chakraborty,Vineeth N Balasubramanian,Sethuraman Panchanathan,Chi-Ho Chan,Josef Kittler,Norman Poh,Benoit Fauve,Ondřej Glembek,Oldřich Plchot,Zdeněk Jančík,Anthony Larcher,Christophe Lévy,Driss Matrouf,Jean-François Bonastre,Ping-Han Lee,Jui-Yu Hung,Si-Wei Wu,Yi-Ping Hung,Lukáš Machlica,John Mason,Sandra Mau,Conrad Sanderson,David Monzo,Antonio Albiol,Hieu V. Nguyen,Li Bai,Yan Wang,Matti Niskanen,Markus Turtinen,Juan Arturo Nolazco-Flores,Leibny Paola Garcia-Perera,Roberto Aceves-Lopez,Mauricio Villegas,Roberto Paredes +38 more
TL;DR: The results have shown that the best performing face and speaker verification systems obtained the same level of performance, respectively 10.9% and 10.6% of HTER.
Proceedings ArticleDOI
A novel feature descriptor based on the shearlet transform
TL;DR: Experimental results show that HSC provides significantly better results for the problems of texture classification and face identification than HOG, based on the accurate multi-scale analysis provided by shearlet transforms.
References
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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.