Optics and Precision Engineering, Volume. 19, Issue 10, 2472(2011)

Improved fully affine invariant SIFT-based image matching algorithm

HE Bai-gen1,2、* and ZHU Ming1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

    [1] [1] FAUGERAS O. Three-Dimensional Computer Vision: A Geometric Viewpoint[M]. Boston: MIT Press, 1993.

    [2] [2] MIKOLAJCZYK K,TUYTELAARS T,SCHMID C,et al.. A comparison of affine region detectors[J]. Int. J. Comput. Vis., 2005,65: 43-72.

    [3] [3] LOWE D G. Distinctive image features from scale-invariant key points[J]. IJCV,2004,60(2): 91-110.

    [4] [4] MOREL J M,YU G. ASIFT: A new framework for fully affine invariant image comparison[J].SIAM Journal on Imaging Sciences, 2009,2(2): 438-468.

    [5] [5] FAN Q, BARNARD K,AMIR A,et al.. Matching slides to presentation videos using SIFT and scene background matching[C]. Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, 2006: 239-248.

    [6] [6] KIM J,SEITZ S,AGRAWALA M. Video-based document tracking: Unifying your physical and electronic desktops[C]. Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004: 99-107.

    [7] [7] VACCHETTI L,LEPETIT V,FUA P. Stable real-time 3D tracking using online and offline information[J]. IEEE Trans. Pattern Anal. Mach. Intell., 2004,26: 1385-1391.

    [8] [8] BAY H,TUYTELAARS T,VAN GOOL L. Surf: Speeded up robust features[C]. Computer Vision-ECCV 2006, Springer-Verlag, Berlin, Heidelberg, 2006: 404-417.

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    HE Bai-gen, ZHU Ming. Improved fully affine invariant SIFT-based image matching algorithm[J]. Optics and Precision Engineering, 2011, 19(10): 2472

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    Paper Information

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    Received: Nov. 24, 2010

    Accepted: --

    Published Online: Nov. 9, 2011

    The Author Email: Bai-gen HE (hebaigen@sohu.com)

    DOI:10.3788/ope.20111910.2472

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