Adaptively doubly weighted sub-pattern LGBP for eyeglasses-face recognition

作者：Song Caifang^*; Sun Yanfeng; Yin Baocai

来源：Journal of Computational Information Systems, 2010, 6(4): 1135-1142.

• 3-D face synthesis
• Facial feature
• Gabor filter
• Gabor kernel
• Human faces
• LBP operator
• Recognition performance
• Sub-patterns
• Virtual sample
• Virtue samples
• Weighting matrices
• Yale database

In this paper, a novel eyeglasses-face recognition approach, adaptively doubly weighted sub-pattern LGBP, is proposed to recognize eyeglasses-face. The proposed method, which looks forward to weak the effect of eyeglasses variation, operates directly on its sub-patterns partitioned from an original whole pattern and separately extracts feature from them. Motivated by the fact that different parts of the human face, and convolution outputs of a sample image and Gabor kernels, have different contributions, we construct two weighting matrices. Considering the instability of eyeglasses as a facial feature, here we make use of 3D face synthesis method based on genetic algorithm to reconstruct virtual samples, to enrich the sample library. Our experimental results on FERET and Yale database reveal that the proposed approach is validity and has better recognition performance than that obtained using other traditional methods.

• 出版日期2010
• 单位北京大学