Combining Local Binary Patterns and Visual Attention for Face Recognition

Автор: Zhiyong Gao, Haihua Liu, Xinhao Chen

Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem

Статья в выпуске: 2 vol.1, 2011 года.

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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.

Короткий адрес: https://sciup.org/15014125

IDR: 15014125

Список литературы Combining Local Binary Patterns and Visual Attention for Face Recognition

  • W. Zhao, R. Chellappa, A, Rosenfeld, P. Phillips, “Face recognition: A literature survey,” ACM Comput. Surv. 2003,35 (4):399–458.
  • S. Li, A. Jain, “Handbook of face recognition”, Springer,2005.
  • T. Ahonen, A. Hadid and M. Pietikänen, “Face recognition with local binary patterns”, European Conference on Computer Vision (ECCV), 2004:469-481.
  • C. Shang, S. Gong, and P. McOwan Ahonen, M. Pietikänen, “Facial expression recognition based on local binary patterns: A comprehensive study,” Image and Vision Computing, 2009, 27: 803-816.
  • Z. Lei, S. Liao, M. Pietikäinen and S. Li, “Face recognition by exploring information jointly in space, scale and orientation,” IEEE Transactions on Image Processing, 2011, 20(1):247-256.
  • L. Itti, C. Koch, and E. Niebur, “A model of saliency based visual attention for rapid scene analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligent, 1998, 20(11):1254–1259.
  • S. Chikkerur, T. Serre, and T. Poggio, “Attentive processing improves object recognition,” MIT Technical Report , 2009, MIT-CSAIL-TR-2009-046.
  • L. Elazary, L. Itti, “A Bayesian model for efficient visual search and recognition,” Vision Research, 2010, 50(14): 1338-1352.
  • D. Walther, C. Koch, “Attention in hierarchical models of object recognition,” Progress in Brain Research, 2007, Vol. 165, 57-78.
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