一個新的三元化圖樣及其在臉部辨識上的應用

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一個新的三元化圖樣及其在臉部辨識上的應用

A Novel Local Ternary Pattern and Its Application to Face Recognition

陳宗明 , Masters　　Advisor：繆紹綱　　

繁體中文

延展式區域三元化圖樣；全區變數自適性區域三元化圖樣；臉部辨識；區域二元化圖樣；區域三元化圖樣； ELTP ； face recognition ； LBP ； LTP ； GVALTP

Abstract │ Reference (22) │ Altmetrics

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The operator of local binary pattern (LBP) mainly thresholds pixels in a predetermined window based on the gray value of the central pixel of that window. The LBP is quite sensitive to noise. To deal with this problem, a 3-valued operator called local ternary pattern (LTP) was proposed. The operator of extended local ternary pattern (ELTP) does not use a fixed threshold rather its threshold is determined by the local statistics of the pixels in the window. With this adaptive threshold, the noise-resistant capability is improved. In this thesis, we introduce a new adaptive operator called global variable adaptive local ternary pattern (GVALTP), where the local pattern threshold is determined automatically based on global statistics of the entire image. The main advantage of this new approach is to enable a faster calculation mechanism. Experiments conducted on two face image datasets show that our technique achieves comparable or slightly better recognition performance as compared with other algorithms. For noise-resistant capability, the proposed approach achieves comparable performance with the ELTP but runs much faster.

Reference ( 22 ) 〈TOP〉

[1] M. Inen, M. Pietikäinen, A. Hadid, G. Zhao, and T. Ahonen, Computer Vision Using Local Binary Patterns, vol. 40. New York, NY, USA: Springer-Verlag, 2011.
連結：
[2] T. Ojala, M. Pietikainen, and D. Harwood, “A Comparative Study of Texture Measures with Classification Based on Feature Distributions,” Pattern Recognit., vol. 29, no. 1, pp. 51-59, 1996.
連結：
[3] T. Ahonen, A. Hadid, and M. Pietikainen, “Face Description with Local Binary Patterns: Application to Face Recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 12, pp. 2037-2041, Dec. 2006.
連結：
[4] X. Tan and B. Triggs, “Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions,” IEEE Trans. Image Process., vol. 19, no. 6, pp. 1635-1650, Jun. 2010.
連結：
[5] W.-H. Liao, “Region Description Using Extended Local Ternary Patterns,” Int. Conf. Pattern Recognit., Istanbul, Turkey, 2010, pp. 1003-1006.
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