• Opto-Electronic Engineering
  • Vol. 41, Issue 2, 47 (2014)
YUE Hongwei1、2、*, WANG Renhuang2, JIN Yingying1, and MING Junfeng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1003-501x.2014.02.008 Cite this Article
    YUE Hongwei, WANG Renhuang, JIN Yingying, MING Junfeng. Feather Quill Crease Recognition Method by Combing Manifold Kernel with LPP[J]. Opto-Electronic Engineering, 2014, 41(2): 47 Copy Citation Text show less
    References

    [3] LIU Hongjiang,WANG Renhuang,LI Xuecong,et al. The Finite Ridgelet Transform for Defeat Detection of Quill [J]. Advanced Materials Research(S1022-6680),2011,317: 915-918.

    [4] Roweis S T,Saul L K. Nonlinear dimensionality reduction by locally linear embedding [J]. Science(S0036-8075),2000, 290(5500): 2323-2326.

    [5] Belkin M,Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation [J]. Neural computation (S0899-7667),2003,15(6): 1373-1396.

    [6] Tenenbaum J B,De Silva V,Langford J C. A global geometric framework for nonlinear dimensionality reduction [J]. Science(S0036-8075),2000,290(5500): 2319-2323.

    [7] HE Xiaofei,YAN Shuicheng,HU Yuxiao,et al. Face recognition using laplacianfaces [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2005,27(3): 328-340.

    [8] YU Weiwei. Two-dimensional discriminant locality preserving projections for face recognition [J]. Pattern Recognition Letters(S 1678-8655),2009,30(15): 1378-1383.

    [9] ZHANG Zhao,Chow W S. Tensor locally linear discriminative analysis [J]. IEEE Signal Processing Letters(S1070-9908), 2011,18(11): 643-646.

    [10] SI Si,TAO Dacheng,GENG Bo. Bregman divergence-based regularization for transfer subspace learning [J]. IEEE Transactions on Knowledge and Data Engineering(S1041-4347),2010,22(7): 929-942.

    [11] Harandi M T,Sanderson C,Shirazi S,et al. Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching [C]// IEEE Conference on Computer Vision and Pattern Recognition,Colorado Springs,CO,USA, June 21-23,2011.Berlin Heidelberg: Springer-Verlag,2011: 2705-2712.

    [12] LUI Yuiman. Advances in matrix manifolds for computer vision [J]. Image and Vision Computing(S0262-8856),2012,30(6): 380-388.

    [13] Pennec X. Intrinsic statistics on Riemannian manifolds: Basic tools for geometric measurements [J]. Journal of Mathematical Imaging and Vision(S0924-9907),2006,25(1): 127-154.

    [14] Turaga P,Veeraraghavan A,Srivastava A,et al. Statistical computations on grassmann and stiefel manifolds for image and video-based recognition [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2011,33(11): 2273-2286.

    [15] Tuzel O,Porikli F,Meer P. Pedestrian detection via classification on riemannian manifolds [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2008,30(10): 1713-1727.

    YUE Hongwei, WANG Renhuang, JIN Yingying, MING Junfeng. Feather Quill Crease Recognition Method by Combing Manifold Kernel with LPP[J]. Opto-Electronic Engineering, 2014, 41(2): 47
    Download Citation