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Novel Face detection method based on Gabor features

Author
JIE CHEN1 ; SHIGUANG SHAN2 ; PENG YANG2 ; SHENGYE YAN2 ; XILIN CHEN2 ; WEN GAO1 2
[1] School of Computer Science and Technology, Harbin Institute of Technology, 150001, China
[2] ICT-IS VISION JDL for AFR, Institute of Computing Technology, CAS, Beijing, 100080, China
Conference title
Advances in biometric person authentication (Guangzhou, 13-14 December 2004)
Conference name
SINOBIOMETRICS 2004 : Chinese conference on biometric recognition (5 ; Guangzhou 2004-12-13)
Author (monograph)
Li, Stan Z (Editor); Lai, Jianhuang (Editor); Tan, Tieniu (Editor); Feng, Guocan (Editor); Wang, Yunhong (Editor)
Source

Lecture notes in computer science. 2004, pp 90-99, 10 p ; ref : 22 ref

ISSN
0302-9743
ISBN
3-540-24029-2
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Base donnée Biométrie Capteur mesure Faciès Filtre Gabor Modèle agrégé Reconnaissance forme Reconnaissance visage Rendement élevé
Keyword (en)
Database Biometrics Measurement sensor Facies Gabor filter Aggregate model Pattern recognition Face recognition High efficiency
Keyword (es)
Base dato Biometría Captador medida Facies Filtro Gabor Modelo agregado Reconocimiento patrón Rendimiento elevado
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16546472

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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