Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST's Face Recognition Grand Challenge
- Autor
- JUEFEI-XU, Felix1 ; SAVVIDES, Marios1
[1] CyLab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States - Fuente
IEEE transactions on image processing. 2014, Vol 23, Num 7-8, pp 3490-3505, 16 p ; ref : 97 ref
- ISSN
- 1057-7149
- Campo Científico
- Telecommunications
- Editor
- Institute of Electrical and Electronics Engineers, New York, NY
- País de la publicación
- United States
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- FRGC Periocular discrete transform local binary patterns (LBP)
- Palabra clave (fr)
- Analyse composante principale Analyse discriminante Base de données Biométrie Classification non supervisée Classification signal Eclairement Etat actuel Evaluation performance Modélisation Méthode noyau Méthode sous espace Méthode statistique Reconnaissance automatique Reconnaissance forme Reconnaissance visage Traitement image Transformation discrète
- Palabra clave (in)
- Principal component analysis Discriminant analysis Database Biometrics Unsupervised classification Signal classification Illumination State of the art Performance evaluation Modeling Kernel method Subspace method Statistical method Automatic recognition Pattern recognition Face recognition Image processing Discrete transformation
- Palabra clave (es)
- Análisis componente principal Análisis discriminante Base dato Biometría Clasificación no supervisada Alumbrado Estado actual Evaluación prestación Modelización Método núcleo Método subespacio Método estadístico Reconocimiento automático Reconocimiento patrón Procesamiento imagen Transformación discreta
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05A Pattern recognition
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing
- Disciplina
- Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28733752
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TIP.2014.2329460 
https://dx.doi.org/10.1109/TIP.2014.2329460
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