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文件名称:人脸识别MB-LBP
文件大小:950KB
文件格式:PDF
更新时间:2015-12-03 03:58:18
MB-LBP
In this paper, we propose a novel representation, calledMultiscale
Block Local Binary Pattern (MB-LBP), and apply it to face recognition.
The Local Binary Pattern (LBP) has been proved to be effective for
image representation, but it is too local to be robust. InMB-LBP, the computation
is done based on average values of block subregions, instead of
individual pixels. In this way, MB-LBP code presents several advantages:
(1) It ismore robust than LBP; (2) it encodes not only microstructures but
also macrostructures of image patterns, and hence provides a more complete
image representation than the basic LBP operator; and (3) MB-LBP
can be computed very efficiently using integral images. Furthermore, in order
to reflect the uniform appearance ofMB-LBP, we redefine the uniform
patterns via statistical analysis. Finally, AdaBoost learning is applied to
select most effective uniform MB-LBP features and construct face classifiers.
Experiments on Face Recognition Grand Challenge (FRGC) ver2.0
database show that the proposed MB-LBP method significantly outperforms
other LBP based face recognition algorithms.
网友评论
- 很不错,实现了基本的LBP算法