Face recognition with relative difference space and SVM

He Xiaoguang; Tian Jie; He Yuliang; Yang Xin

doi:10.1109/ICPR.2006.532

Face recognition with relative difference space and SVM

He Xiaoguang
, Tian Jie^*
, He Yuliang
, Yang Xin

^*Corresponding author for this work

University of Chinese Academy of Sciences

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

3 Scopus citations

Abstract

In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions.

Original language	English
Title of host publication	Track C
Subtitle of host publication	Applications and Robotics Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	527-531
Number of pages	5
ISBN (Print)	0769525210, 9780769525211
DOIs	https://doi.org/10.1109/ICPR.2006.532
State	Published - 2006
Externally published	Yes
Event	18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China Duration: 20 Aug 2006 → 24 Aug 2006

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	18th International Conference on Pattern Recognition, ICPR 2006
Country/Territory	China
City	Hong Kong
Period	20/08/06 → 24/08/06

Access to Document

10.1109/ICPR.2006.532

Cite this

@inproceedings{d919f5a14a3c43449b3060d962e94162,

title = "Face recognition with relative difference space and SVM",

abstract = "In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions.",

author = "He Xiaoguang and Tian Jie and He Yuliang and Yang Xin",

year = "2006",

doi = "10.1109/ICPR.2006.532",

language = "英语",

isbn = "0769525210",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "527--531",

booktitle = "Track C",

address = "美国",

note = "18th International Conference on Pattern Recognition, ICPR 2006 ; Conference date: 20-08-2006 Through 24-08-2006",

}

Xiaoguang, H, Jie, T, Yuliang, H & Xin, Y 2006, Face recognition with relative difference space and SVM. in Track C: Applications and Robotics Systems. Proceedings - International Conference on Pattern Recognition, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 527-531, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, 20/08/06. https://doi.org/10.1109/ICPR.2006.532

Face recognition with relative difference space and SVM. / Xiaoguang, He; Jie, Tian; Yuliang, He et al.
Track C: Applications and Robotics Systems. Institute of Electrical and Electronics Engineers Inc., 2006. p. 527-531 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

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

TY - GEN

T1 - Face recognition with relative difference space and SVM

AU - Xiaoguang, He

AU - Jie, Tian

AU - Yuliang, He

AU - Xin, Yang

PY - 2006

Y1 - 2006

N2 - In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions.

AB - In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions.

UR - https://www.scopus.com/pages/publications/34147137771

U2 - 10.1109/ICPR.2006.532

DO - 10.1109/ICPR.2006.532

M3 - 会议稿件

AN - SCOPUS:34147137771

SN - 0769525210

SN - 9780769525211

T3 - Proceedings - International Conference on Pattern Recognition

SP - 527

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BT - Track C

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Pattern Recognition, ICPR 2006

Y2 - 20 August 2006 through 24 August 2006

ER -

Face recognition with relative difference space and SVM

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