跳到主要导航 跳到搜索 跳到主要内容

Adaptive local binary patterns for 3D face recognition

  • Haihong Shen*
  • , Qishan Zhang
  • , Dongkai Yang
  • *此作品的通讯作者
  • Beihang University
  • China University of Geosciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
533-536
页数4
DOI
出版状态已出版 - 2009
活动2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR - Nanjing, 中国
期限: 4 11月 20096 11月 2009

出版系列

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

会议

会议2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
国家/地区中国
Nanjing
时期4/11/096/11/09

学术指纹

探究 'Adaptive local binary patterns for 3D face recognition' 的科研主题。它们共同构成独一无二的学术指纹。

引用此