• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101011 (2020)
Huixian Yang, Xiaoxiao Li*, and Weifa Gan
Author Affiliations
  • Physics and Optoelectronic Engineering College, Xiangtan University, Xiangtan, Hunan 411105, China
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    DOI: 10.3788/LOP57.101011 Cite this Article Set citation alerts
    Huixian Yang, Xiaoxiao Li, Weifa Gan. A Face Recognition Algorithm Based on Adaptive Weighted Curvelet Gradient Direction Histogram[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101011 Copy Citation Text show less
    References

    [1] Shu C, Ding X Q, Fang C. Histogram of the oriented gradient for face recognition[J]. Tsinghua Science and Technology, 16, 216-224(2011).

    [2] Yang H X, Xu C, Zeng J F et al. Face recognition based on multi-directional weber gradient histograms[J]. Laser & Optoelectronics Progress, 55, 111008(2018).

    [3] Zhu X B, Che J. Person re-identification algorithm based on feature fusion and subspace learning[J]. Laser & Optoelectronics Progress, 56, 021503(2019).

    [4] Cheng C, Da F P, Wang C X et al. Pose invariant face recognition using maximum Gabor similarity based on Lucas-Kanade algorithm[J]. Acta Optica Sinica, 39, 0715005(2019).

    [5] Wu Y X, Zhang H. Recognition method of coal-rock images based on Curvelet transform and compressed sensing[J]. Journal of China Coal Society, 42, 1331-1338(2017).

    [6] Li Y P, Jiang Y, Hu J M et al. Face recognition method based on Curvelet transform and cosine rules[J]. Computer Science, 43, 294-297, 303(2016).

    [7] Zhou L J, Liu W Q, Sun J. Variable illumination face recognition based on Curvelet and LBP[J]. Computer Engineering, 38, 176-178, 182(2012).

    [8] Zhao Q M, Peng X Y. Research on face recognition based on Curvelet transform and (2D)2PCA[J]. Journal of Nanchang University(Natural Science), 42, 180-183(2018).

    [9] Candes E J, Donoho D L[M]. Curvelet-a surprisingly effective nonadaptive representation for objects with edges(1999).

    [10] Zhang Z Y, Liu S Y. Method of face recognition and dimension reduction based on Curv-SAE feature fusion[J]. Computer Science, 45, 267-271, 305(2018).

    [11] Candes E J, Demanet L, Donoho D et al. Fast discrete curvelet transform Applied and Computational Mathe-matics,[R]. California: California Institute of Technology(2005).

    [12] Chen Y F, Chen J H, Guo B et al. Denoising the receiver function through curvelet transforming and migration imaging[J]. Chinese Journal of Geophysics, 62, 2027-2037(2019).

    [13] Feng J P, Yang H X, Cai Y Y et al. Face recognition based on histograms of nonsubsampled contourlet oriented gradient[J]. Journal of Computer Applications, 34, 158-161, 166(2014).

    [14] Zhou X, Zhang H J, Wang X. Face recognition based on Shearlet multi-orientation features fusion and weighted histogram[J]. Opto-Electronic Engineering, 40, 89-94(2013).

    [15] Hu L Q, Qiu R H. Face recognition based on adaptively weighted HOG[J]. Computer Engineering and Applications, 53, 164-168(2017).

    [16] Déniz O, Bueno G, Salido J et al. Face recognition using histograms of oriented gradients[J]. Pattern Recognition Letters, 32, 1598-1603(2011).

    [17] Yang J J, Li Y W. Face recognition algorithm based on Curvelet transform feature[J]. Computer Applications and Software, 35, 169-174(2018).

    [18] Yue X Y, Yang H X, Zhu G et al. Face recognition using nonsubsampled Contourlet transform and local binary pattern[J]. Journal of Computer Applications, 32, 1890-1893(2012).

    Huixian Yang, Xiaoxiao Li, Weifa Gan. A Face Recognition Algorithm Based on Adaptive Weighted Curvelet Gradient Direction Histogram[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101011
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