Gradient local binary patterns for age group estimation

Jae Ho Jeon, Jae Young Lee, Ji Sang Bae, Jong Ok Kim

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

1 Citation (Scopus)

Abstract

In this paper, we propose a new texture descriptor GLBP (Gradient LBP) for age group estimation. LBP exploits the only signs of the gradients between a center pixel and its surrounding pixels in a local patch and it does not reflect their magnitudes. This fails LBP to describe local signal structure in detail. Motivated by this observation, we propose so called GLBP, which considers the magnitude as well as the sign of the gradient. Experimental results show that when the proposed method is applied to age group estimation, it can achieve higher classification rate than existing well-known texture descriptors.

Original languageEnglish
Title of host publicationISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
DOIs
Publication statusPublished - 2014
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 2014 Jun 222014 Jun 25

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/TerritoryKorea, Republic of
CityJeju
Period14/6/2214/6/25

Keywords

  • Age group estimation
  • Feature extraction
  • Local Binary Patterns
  • Local texture descriptor

ASJC Scopus subject areas

  • General Engineering

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