Discriminative Discriminant Common Vector in face verification

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479943913
DOIs
Publication statusPublished - 2014 Jul 30
Event2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - Kuala Lumpur, Malaysia
Duration: 2014 Jun 32014 Jun 5

Publication series

Name2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings

Other

Other2014 International Conference on Computer and Information Sciences, ICCOINS 2014
CountryMalaysia
CityKuala Lumpur
Period14/6/314/6/5

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Discriminative Discriminant Common Vector in face verification'. Together they form a unique fingerprint.

  • 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 [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