• Electronics Optics & Control
  • Vol. 23, Issue 8, 89 (2016)
SU Pei-feng, HUANG Shi-qi, WANG Yi-ting, and LIU Dai-zhi
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  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2016.08.021 Cite this Article
    SU Pei-feng, HUANG Shi-qi, WANG Yi-ting, LIU Dai-zhi. An Image Registration Method Based on SIFT and Moment Features[J]. Electronics Optics & Control, 2016, 23(8): 89 Copy Citation Text show less
    References

    [6] MIKOLAJCZYK K, SCHMID C. A Performance Evaluation of Local Descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 2: 257-263.

    [7] YAN K, SUKTHANKAR R. PCA-SIFT: a more distinctive representation for local image descriptors[C]//Proceedings of the Computer Vision and Pattern Recognition, IEEE Computer Society Conference on. IEEE, 2004: 506-513.

    [8] DUAN C, MENG X X, TU C H, et al. How to make local image features more efficient and distinctive[J]. IET Computcr. Vision, 2008, 2(3): 178-189.

    [10] ETHAN R, VINCENT R, KURT K, et al. ORB: an efficient alternative to SIFT or SURF[C]//IEEE International Conference on Computer Vision, 2011: 1-8.

    [11] LOWE D G. Object recognition from local scale-invariant features[C]//In Proceedings. of the International Conference on Computer Vision, 1999: 1150-1157.

    [12] LOWE D G. Distinctive image features from scale-invariant key-points[J]. Internation Journal of Computer Vision, 2004, 60: 91-110.

    SU Pei-feng, HUANG Shi-qi, WANG Yi-ting, LIU Dai-zhi. An Image Registration Method Based on SIFT and Moment Features[J]. Electronics Optics & Control, 2016, 23(8): 89
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