Robust face recognition using automatic age normalization

A Lanitis; C J Taylor

doi:10.1109/MELCON.2000.879974

Robust face recognition using automatic age normalization

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

A large number of automatic face recognition systems have been reported in the literature. Many of them are robust to within class appearance variation of subjects such as variation in expression, lighting and pose. However, most of the face identification systems developed, are sensitive to changes in the age of individuals. In this paper we demonstrate that automatic age simulation techniques can be used for designing face recognition systems, robust to ageing variation. In this context, the perceived age of the subjects in the training and test images is modified before the training and classification procedures, so that ageing variation is eliminated. Experimental results demonstrate that the performance of our face recognition system can be improved significantly, when this approach is adopted.

Original language	English
Title of host publication	2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries
Subtitle of host publication	Proceedings. MeleCon 2000 (Cat. No.00CH37099)
Editors	Costas Stasopoulos, Andreas Theophanous, Adonis Kellas, Antis M. Constantinou, Kypros Diamantides
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	478-481
Number of pages	4
Volume	III
ISBN (Print)	9780780362918, 0780362918
DOIs	https://doi.org/10.1109/MELCON.2000.879974
Publication status	Published - May 2000
Event	10th Mediterranean Electrotechnical Conference - Lemesos, Cyprus Duration: 29 May 2000 → 31 May 2000

Conference

Conference	10th Mediterranean Electrotechnical Conference
Abbreviated title	MeleCon 2000
Country/Territory	Cyprus
City	Lemesos
Period	29/05/00 → 31/05/00

Keywords

Robustness
Face recognition
Aging
System testing
Principal component analysis
Shape
Humans
Computer science
Educational institutions
Biomedical imaging

Access to Document

10.1109/MELCON.2000.879974

Cite this

Lanitis, A., & Taylor, C. J. (2000). Robust face recognition using automatic age normalization. In C. Stasopoulos, A. Theophanous, A. Kellas, A. M. Constantinou, & K. Diamantides (Eds.), 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries: Proceedings. MeleCon 2000 (Cat. No.00CH37099) (Vol. III, pp. 478-481). IEEE. https://doi.org/10.1109/MELCON.2000.879974

Lanitis, A ; Taylor, C J. / Robust face recognition using automatic age normalization. 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries: Proceedings. MeleCon 2000 (Cat. No.00CH37099). editor / Costas Stasopoulos ; Andreas Theophanous ; Adonis Kellas ; Antis M. Constantinou ; Kypros Diamantides. Vol. III Piscataway, NJ : IEEE, 2000. pp. 478-481

@inproceedings{caf7bdcf8fa140a4b68901b2bc22e274,

title = "Robust face recognition using automatic age normalization",

abstract = "A large number of automatic face recognition systems have been reported in the literature. Many of them are robust to within class appearance variation of subjects such as variation in expression, lighting and pose. However, most of the face identification systems developed, are sensitive to changes in the age of individuals. In this paper we demonstrate that automatic age simulation techniques can be used for designing face recognition systems, robust to ageing variation. In this context, the perceived age of the subjects in the training and test images is modified before the training and classification procedures, so that ageing variation is eliminated. Experimental results demonstrate that the performance of our face recognition system can be improved significantly, when this approach is adopted.",

keywords = "Robustness, Face recognition, Aging, System testing, Principal component analysis, Shape, Humans, Computer science, Educational institutions, Biomedical imaging",

author = "A Lanitis and Taylor, \{C J\}",

year = "2000",

month = may,

doi = "10.1109/MELCON.2000.879974",

language = "English",

isbn = "9780780362918",

volume = "III",

pages = "478--481",

editor = "Costas Stasopoulos and Andreas Theophanous and Adonis Kellas and Constantinou, \{Antis M.\} and Kypros Diamantides",

booktitle = "2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries",

publisher = "IEEE",

address = "United States",

note = "10th Mediterranean Electrotechnical Conference, MeleCon 2000 ; Conference date: 29-05-2000 Through 31-05-2000",

}

Lanitis, A & Taylor, CJ 2000, Robust face recognition using automatic age normalization. in C Stasopoulos, A Theophanous, A Kellas, AM Constantinou & K Diamantides (eds), 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries: Proceedings. MeleCon 2000 (Cat. No.00CH37099). vol. III, IEEE, Piscataway, NJ, pp. 478-481, 10th Mediterranean Electrotechnical Conference, Lemesos, Cyprus, 29/05/00. https://doi.org/10.1109/MELCON.2000.879974

Robust face recognition using automatic age normalization. / Lanitis, A; Taylor, C J.
2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries: Proceedings. MeleCon 2000 (Cat. No.00CH37099). ed. / Costas Stasopoulos; Andreas Theophanous; Adonis Kellas; Antis M. Constantinou; Kypros Diamantides. Vol. III Piscataway, NJ: IEEE, 2000. p. 478-481.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust face recognition using automatic age normalization

AU - Lanitis, A

AU - Taylor, C J

PY - 2000/5

Y1 - 2000/5

N2 - A large number of automatic face recognition systems have been reported in the literature. Many of them are robust to within class appearance variation of subjects such as variation in expression, lighting and pose. However, most of the face identification systems developed, are sensitive to changes in the age of individuals. In this paper we demonstrate that automatic age simulation techniques can be used for designing face recognition systems, robust to ageing variation. In this context, the perceived age of the subjects in the training and test images is modified before the training and classification procedures, so that ageing variation is eliminated. Experimental results demonstrate that the performance of our face recognition system can be improved significantly, when this approach is adopted.

AB - A large number of automatic face recognition systems have been reported in the literature. Many of them are robust to within class appearance variation of subjects such as variation in expression, lighting and pose. However, most of the face identification systems developed, are sensitive to changes in the age of individuals. In this paper we demonstrate that automatic age simulation techniques can be used for designing face recognition systems, robust to ageing variation. In this context, the perceived age of the subjects in the training and test images is modified before the training and classification procedures, so that ageing variation is eliminated. Experimental results demonstrate that the performance of our face recognition system can be improved significantly, when this approach is adopted.

KW - Robustness

KW - Face recognition

KW - Aging

KW - System testing

KW - Principal component analysis

KW - Shape

KW - Humans

KW - Computer science

KW - Educational institutions

KW - Biomedical imaging

UR - https://www.scopus.com/pages/publications/0034482362

U2 - 10.1109/MELCON.2000.879974

DO - 10.1109/MELCON.2000.879974

M3 - Conference contribution

SN - 9780780362918

SN - 0780362918

VL - III

SP - 478

EP - 481

BT - 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries

A2 - Stasopoulos, Costas

A2 - Theophanous, Andreas

A2 - Kellas, Adonis

A2 - Constantinou, Antis M.

A2 - Diamantides, Kypros

PB - IEEE

CY - Piscataway, NJ

T2 - 10th Mediterranean Electrotechnical Conference

Y2 - 29 May 2000 through 31 May 2000

ER -

Lanitis A, Taylor CJ. Robust face recognition using automatic age normalization. In Stasopoulos C, Theophanous A, Kellas A, Constantinou AM, Diamantides K, editors, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries: Proceedings. MeleCon 2000 (Cat. No.00CH37099). Vol. III. Piscataway, NJ: IEEE. 2000. p. 478-481 doi: 10.1109/MELCON.2000.879974

Robust face recognition using automatic age normalization

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this