Combining Local Binary Patterns and Visual Attention for Face Recognition
By
Zhiyong Gao
Haihua Liu
Xinhao Chen
DOI: https://doi.org/10.5815/ijem.2011.02.12, Pub. Date: 8 Apr. 2011
Effectiveness of local binary pattern (LBP) for face recognition has been proven. But the weight of weighted LBP is difficult to determine. In this paper, we proposed a biologically plausible approach to set the weight automatically. Combining LBP and visual attention, a weight map can be constructed by summing over the saliency map. The weight map outlines salient information in the image and helpful for recognition. Experimental results show that the presented method is efficient and effective.
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