An encoding scheme for robust face recognition

Sang Ki Kim, Hyobin Lee, Kar Ann Toh, Sangyoun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Noticing that many available view-based methods are confined within rather limited operating conditions, in this work we investigate into whether external factors such as illumination, pose, expression and occlusion can be explicitly estimated and be used to boost the verification performance. Our approach consists of three steps: encoding the external factors, code estimation, and identity verification using the encoded data. Empirical experiments were performed on this method using the BERC database which contains both visual and infrared facial images. The experimental results show significant performance elevation from the proposed method, thus demonstrating the effectiveness of isolating the external factors.

Original languageEnglish
Title of host publicationICIEA 2007
Subtitle of host publication2007 Second IEEE Conference on Industrial Electronics and Applications
Pages653-658
Number of pages6
DOIs
Publication statusPublished - 2007 Oct 18
Event2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China
Duration: 2007 May 232007 May 25

Publication series

NameICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Other

Other2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
CountryChina
CityHarbin
Period07/5/2307/5/25

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Kim, S. K., Lee, H., Toh, K. A., & Lee, S. (2007). An encoding scheme for robust face recognition. In ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications (pp. 653-658). [4318488] (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications). https://doi.org/10.1109/ICIEA.2007.4318488