• Opto-Electronic Engineering
  • Vol. 36, Issue 3, 33 (2009)
CHEN Hai-lin*, WU Xiu-qing, and HU Jun-hua
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    CHEN Hai-lin, WU Xiu-qing, HU Jun-hua. Local Feature Spatial Correlation Kernel for Image Object Classification[J]. Opto-Electronic Engineering, 2009, 36(3): 33 Copy Citation Text show less
    References

    [1] ZHANG J,Marszalek M,Lazebnik S,et al. Local Features and Kernels for Classification of Texture and Object Categories:A Comprehensive Study [J]. International Journal of Computer Vision(S1573-1405),2007,73(2):213-238.

    [2] Lowe D. Distinctive Image Features from Scale-Invariant Keypoints [J]. International Journal of Computer Vision(S1573-1405),2004,60(2):91-110.

    [3] Fei-Fei L,Perona P. A Bayesian hierarchical model for learning natural scene categories [C]// IEEE International Conference on Computer Vision and Pattern Recognition,San Diego,CA,USA,Jun 20-25,2005:524-531.

    [4] Fergus R,Perona P,Zisserman A. Object class recognition by unsupervised scale-invariant learning [C]// IEEE International Conference on Computer Vision and Pattern Recognition,Madison, Wisconsin, United States,June 16-22,2003:264-271.

    [5] Berg A,Berg T,Malik J. Shape matching and object recognition using low distortion correspondences[C]// IEEE International Conference on Computer Vision and Pattern Recognition,San Diego,CA,USA,Jun 20-25,2005:26-33.

    [6] Lazebnik S,Schmid C,Ponce J. A maximum entropy framework for part-based texture and object recognition [C]// IEEE. International Conference on Computer Vision,Beijing,China,Oct 17-20,2005:832-838.

    [7] Lazebnik S,Schmid C,Ponce J. Beyond Bags of Features:Spatial Pyramid Matching for Recognizing Natural Scene Categories [C]// IEEE International Conference on Computer Vision and Pattern Recognition,New York,NY,June 17-22,2006:2169-2178.

    [8] Grauman K,Darrell T. The Pyramid Match Kernel:Efficient Learning with Sets of Features [J]. Journal of Machine Learning Research(S1532-4435),2007,8:725-760.

    [9] Grauman K,Darrell T. Darrell. Pyramid match kernels:Discriminative classification with sets of image features [C]// IEEE International Conference on Computer Vision,Beijing,China,Oct 17-20,2005:1458-1465.

    [10] Wallraven C,Caputo B,Graf A. Recognition with local features:the kernel recipe [C]// IEEE International Conference on Computer Vision, Nice,France,Oct 13-16,2003,1:257-264.

    [11] Grauman K,Darrell T. Approximate correspondences in high dimension[C]// Advances in Neural Information Processing Systems. USA:MIT Press,2007:505-512.

    [12] Vapnik V. The Nature of Statistical Learning Theory [M]. New York:Springer-Verlang,1995.

    [13] Odone F,Barla A,Verri A. Building kernels from binary strings for image matching [J]. IEEE Transactions on Image Processing(S1057-7149),2005,14(2):169-180.

    CHEN Hai-lin, WU Xiu-qing, HU Jun-hua. Local Feature Spatial Correlation Kernel for Image Object Classification[J]. Opto-Electronic Engineering, 2009, 36(3): 33
    Download Citation