Gabor-based region covariance matrices for face recognition

Yanwei Pang; Yuan Yuan; Xuelong Li

doi:10.1109/TCSVT.2008.924108

Gabor-based region covariance matrices for face recognition

Yanwei Pang, Yuan Yuan, Xuelong Li

Research output: Contribution to journal › Article › peer-review

266 Citations (SciVal)

Abstract

This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.

Original language	English
Article number	4498432
Pages (from-to)	989-993
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems For Video Technology
Volume	18
Issue number	7
DOIs	https://doi.org/10.1109/TCSVT.2008.924108
Publication status	Published - Jul 2008

Keywords

human face recognition
Gabor-based region covariance matrices
face descriptors

Access to Document

10.1109/TCSVT.2008.924108

Cite this

@article{5b46b6a4118b4410b8e946aadd5108fd,

title = "Gabor-based region covariance matrices for face recognition",

abstract = "This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.",

keywords = "human face recognition, Gabor-based region covariance matrices, face descriptors",

author = "Yanwei Pang and Yuan Yuan and Xuelong Li",

year = "2008",

month = jul,

doi = "10.1109/TCSVT.2008.924108",

language = "English",

volume = "18",

pages = "989--993",

journal = "IEEE Transactions on Circuits and Systems For Video Technology",

issn = "1051-8215",

publisher = "IEEE",

number = "7",

}

TY - JOUR

T1 - Gabor-based region covariance matrices for face recognition

AU - Pang, Yanwei

AU - Yuan, Yuan

AU - Li, Xuelong

PY - 2008/7

Y1 - 2008/7

N2 - This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.

AB - This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.

KW - human face recognition

KW - Gabor-based region covariance matrices

KW - face descriptors

UR - http://www.scopus.com/inward/record.url?scp=46349092653&partnerID=8YFLogxK

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4498432

U2 - 10.1109/TCSVT.2008.924108

DO - 10.1109/TCSVT.2008.924108

M3 - Article

SN - 1051-8215

VL - 18

SP - 989

EP - 993

JO - IEEE Transactions on Circuits and Systems For Video Technology

JF - IEEE Transactions on Circuits and Systems For Video Technology

IS - 7

M1 - 4498432

ER -

Gabor-based region covariance matrices for face recognition

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this