Discriminative Discriminant Common Vector in face verification

Pang Ying Han; Andrew Teoh Beng Jin; Liew Yee Ping; Goh Fan Ling; Loo Chu Kiong

doi:10.1109/ICCOINS.2014.6868366

Discriminative Discriminant Common Vector in face verification

Pang Ying Han, Andrew Teoh Beng Jin, Liew Yee Ping, Goh Fan Ling, Loo Chu Kiong

Department of Electrical and Electronic Engineering

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

Abstract

Discriminant Common Vectors (DCV) is proposed to solve small sample size problem. Face recognition encounters this dilemma where number of training samples is always smaller than the data dimension. In literature, it is shown that DCV is efficient in face recognition. In this paper, DCV is enhanced for further boosting its discriminating power. This modified version is namely Discriminative Discriminant Common Vectors (DDCV). In this technique, a local Laplacian matrix of face data is computed. This matrix is used to derive a regularization model for computing discriminative class common vectors. Experimental results demonstrate that DDCV illustrates its effectiveness on face verification, especially on facial images with significant intra class variations.

Original language	English
Title of host publication	2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479943913
DOIs	https://doi.org/10.1109/ICCOINS.2014.6868366
Publication status	Published - 2014 Jul 30
Event	2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - Kuala Lumpur, Malaysia Duration: 2014 Jun 3 → 2014 Jun 5

Publication series

Name	2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings

Other

Other	2014 International Conference on Computer and Information Sciences, ICCOINS 2014
Country/Territory	Malaysia
City	Kuala Lumpur
Period	14/6/3 → 14/6/5

Bibliographical note

Funding Information:
*A. L. acknowledges the support by the Ministry of Science and Technology of Republic of Slovenia (Project J2-0414 and SI-CZ Intergovernmental S & T Cooperation Programme). H. B. was supported by a grant from the Fonds zur Forderung der wissenschaftlichen Forschung (No. S7002MAT and P13981INF). We thank Jasna Maver for performing some of the experiments.

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCOINS.2014.6868366

Cite this

Han, P. Y., Jin, A. T. B., Ping, L. Y., Ling, G. F., & Kiong, L. C. (2014). Discriminative Discriminant Common Vector in face verification. In 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings Article 6868366 (2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCOINS.2014.6868366

Han, Pang Ying ; Jin, Andrew Teoh Beng ; Ping, Liew Yee et al. / Discriminative Discriminant Common Vector in face verification. 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings).

@inproceedings{0a6cfded768741ac92ac4d4622d3f836,

title = "Discriminative Discriminant Common Vector in face verification",

abstract = "Discriminant Common Vectors (DCV) is proposed to solve small sample size problem. Face recognition encounters this dilemma where number of training samples is always smaller than the data dimension. In literature, it is shown that DCV is efficient in face recognition. In this paper, DCV is enhanced for further boosting its discriminating power. This modified version is namely Discriminative Discriminant Common Vectors (DDCV). In this technique, a local Laplacian matrix of face data is computed. This matrix is used to derive a regularization model for computing discriminative class common vectors. Experimental results demonstrate that DDCV illustrates its effectiveness on face verification, especially on facial images with significant intra class variations.",

author = "Han, {Pang Ying} and Jin, {Andrew Teoh Beng} and Ping, {Liew Yee} and Ling, {Goh Fan} and Kiong, {Loo Chu}",

note = "Funding Information: *A. L. acknowledges the support by the Ministry of Science and Technology of Republic of Slovenia (Project J2-0414 and SI-CZ Intergovernmental S & T Cooperation Programme). H. B. was supported by a grant from the Fonds zur Forderung der wissenschaftlichen Forschung (No. S7002MAT and P13981INF). We thank Jasna Maver for performing some of the experiments. Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference date: 03-06-2014 Through 05-06-2014",

year = "2014",

month = jul,

day = "30",

doi = "10.1109/ICCOINS.2014.6868366",

language = "English",

series = "2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings",

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

booktitle = "2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings",

address = "United States",

}

Han, PY, Jin, ATB, Ping, LY, Ling, GF & Kiong, LC 2014, Discriminative Discriminant Common Vector in face verification. in 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings., 6868366, 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2014 International Conference on Computer and Information Sciences, ICCOINS 2014, Kuala Lumpur, Malaysia, 14/6/3. https://doi.org/10.1109/ICCOINS.2014.6868366

Discriminative Discriminant Common Vector in face verification. / Han, Pang Ying; Jin, Andrew Teoh Beng; Ping, Liew Yee et al.
2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6868366 (2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings).

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

TY - GEN

T1 - Discriminative Discriminant Common Vector in face verification

AU - Han, Pang Ying

AU - Jin, Andrew Teoh Beng

AU - Ping, Liew Yee

AU - Ling, Goh Fan

AU - Kiong, Loo Chu

N1 - Funding Information: *A. L. acknowledges the support by the Ministry of Science and Technology of Republic of Slovenia (Project J2-0414 and SI-CZ Intergovernmental S & T Cooperation Programme). H. B. was supported by a grant from the Fonds zur Forderung der wissenschaftlichen Forschung (No. S7002MAT and P13981INF). We thank Jasna Maver for performing some of the experiments. Publisher Copyright: © 2014 IEEE.

PY - 2014/7/30

Y1 - 2014/7/30

N2 - Discriminant Common Vectors (DCV) is proposed to solve small sample size problem. Face recognition encounters this dilemma where number of training samples is always smaller than the data dimension. In literature, it is shown that DCV is efficient in face recognition. In this paper, DCV is enhanced for further boosting its discriminating power. This modified version is namely Discriminative Discriminant Common Vectors (DDCV). In this technique, a local Laplacian matrix of face data is computed. This matrix is used to derive a regularization model for computing discriminative class common vectors. Experimental results demonstrate that DDCV illustrates its effectiveness on face verification, especially on facial images with significant intra class variations.

AB - Discriminant Common Vectors (DCV) is proposed to solve small sample size problem. Face recognition encounters this dilemma where number of training samples is always smaller than the data dimension. In literature, it is shown that DCV is efficient in face recognition. In this paper, DCV is enhanced for further boosting its discriminating power. This modified version is namely Discriminative Discriminant Common Vectors (DDCV). In this technique, a local Laplacian matrix of face data is computed. This matrix is used to derive a regularization model for computing discriminative class common vectors. Experimental results demonstrate that DDCV illustrates its effectiveness on face verification, especially on facial images with significant intra class variations.

UR - http://www.scopus.com/inward/record.url?scp=84938792876&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84938792876&partnerID=8YFLogxK

U2 - 10.1109/ICCOINS.2014.6868366

DO - 10.1109/ICCOINS.2014.6868366

M3 - Conference contribution

AN - SCOPUS:84938792876

T3 - 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings

BT - 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 International Conference on Computer and Information Sciences, ICCOINS 2014

Y2 - 3 June 2014 through 5 June 2014

ER -

Han PY, Jin ATB, Ping LY, Ling GF, Kiong LC. Discriminative Discriminant Common Vector in face verification. In 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6868366. (2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings). doi: 10.1109/ICCOINS.2014.6868366

Discriminative Discriminant Common Vector in face verification

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this