• Journal of Infrared and Millimeter Waves
  • Vol. 22, Issue 4, 307 (2003)
[in Chinese], [in Chinese], and [in Chinese]
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  • [in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. RESEARCH OF AUTOMATED IMAGE REGISTRATION TECHNIQUE FOR INFRARED IMAGES BASED ON OPTICAL FLOW FIELD ANALYSIS[J]. Journal of Infrared and Millimeter Waves, 2003, 22(4): 307 Copy Citation Text show less
    References

    [1] Can A, Stewart C V, Roysam B. et al. A feature-based robust hierarchical algorithm for registration pairs of images of the curved human retina. IEEE Trans PAMI, 2002, 24(3): 347-384

    [2] Dai X, Khorram S. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments. IEEE Trans PAMI, 1999, 37(5): 2351-2362

    [3] Horn B K P, Schunck B G. Determining optical flow. Artificial Intelligence, 1981, 17: 185-203

    [4] Barron J L, Fleet D J. Systems and experiment: Performance of optical flow techniques. Int. J. Comp. Vision, 1994, 12(1): 43-77

    [5] Canny J F. A computation approach to edge detection, IEEE Trans PAMI, 1986, 8(6):679-698

    [7] Nagel H H. Displacement vectors derived from second-order intensity variations in image sequences. CVGIP, 1983, 25: 85-117

    [8] Bruce D Lucas, Takeo Kanade. An iterative image registration technique with and application to stereo vision. Inter. Joint Conference on Artificial Intelligence,Vancouver, 1981, 674-679

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    [1] Guan Zhiqiang, Chen Qian, Gu Guohua, Qian Weixian. Dim Target Detection Based on Optical Flow Histgram in Low Frame Frequence in Clouds Background[J]. Acta Optica Sinica, 2008, 28(8): 1496

    [in Chinese], [in Chinese], [in Chinese]. RESEARCH OF AUTOMATED IMAGE REGISTRATION TECHNIQUE FOR INFRARED IMAGES BASED ON OPTICAL FLOW FIELD ANALYSIS[J]. Journal of Infrared and Millimeter Waves, 2003, 22(4): 307
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