Face Features Extraction Based on multi-scale LBP

摘要：

How to extract the strong features of face image is vital important in the face recognition technology. The extracted features should be robust for variation of illumination and expression. a novel feature extraction algorithm based on wavelet decomposition and LBP is proposed, which makes use of the idea of wavelet multiresolution and local characteristic of LBP. And the features extracted by this way contain holistic and local information that can be robust to identify faces. Experiment results show that the proposed method can effectively be used in face recognition with single training sample per person The performance is better than PCA and original LBP. And the importance of different levels lower coefficients is also analyzed.

关键词： local binary patterns feature extraction wavelet decomposition face recognition

作者: Xiaoshan Liu Minghui Du Lianwen Jin

作者单位: School of Electronic and Information Engineering, South China University of Technology, Guangzhou 51 School of Electronic and Information Engineering, South China University of Technology, Guangzhou 51

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1278-1281

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）