Sobel-LBP

  • Sanqiang Zhao*
  • , Yongsheng Gao
  • , Baochang Zhang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new Sobel-LBP, an extension of existing Local Binary Pattern (LBP), for facial image representation. The face image is filtered by Sobel operator to enhance the edge information. Sobel-LBP feature distributions are then extracted and concatenated into a spatial histogram to be used as a face descriptor. The proposed method is compared with the original LBP on both gray-level images and Gabor real and imaginary features for face recognition. The experimental results indicate that Sobel-LBP provides a significantly better performance than LBP under various conditions.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2144-2147
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA
Period12/10/0815/10/08

Keywords

  • Face recognition
  • Gabor feature
  • Image representation
  • Local Binary Pattern
  • Sobel-LBP

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