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Adaptive local binary patterns for 3D face recognition

  • Haihong Shen*
  • , Qishan Zhang
  • , Dongkai Yang
  • *Corresponding author for this work
  • Beihang University
  • China University of Geosciences

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

Abstract

Local binary patterns (LBP) method has been successfully applied into many texture classification areas. However, the most widely used uniform local binary patterns are defined according to the general texture micro-structures, which are not optimal for some specific application. In this paper we propose a novel adaptive local binary patterns (ALBP) method, which can adaptively choose the most suitable patterns according to its tasks. ALBP is tested on the challenging CASIA 3D Face Database in two situations: the adaptive patterns obtained from the 3D face image (global texture) and the adaptive patterns obtained from the Gabor features (local texture). Experimental results illustrate the effectiveness of our proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Pages533-536
Number of pages4
DOIs
StatePublished - 2009
Event2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR - Nanjing, China
Duration: 4 Nov 20096 Nov 2009

Publication series

NameProceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR

Conference

Conference2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Country/TerritoryChina
CityNanjing
Period4/11/096/11/09

Keywords

  • 3D face recognition
  • Adaptive local binary patterns

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