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Image Key Points

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Image Fusion
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Abstract

The subject of this chapter is image key points which we define as a distinctive point in an input image which is invariant to rotation, scale and distortion. In practice, the key points are not perfectly invariant but they are a good approximation. To make our discussion more concrete we shall concentrate on two key point algorithms: SIFT and SURF and their use in spatial alignment.

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References

  1. Abdel-Hakim, A.E., Farag, A.A.: CSIFT: A sift descriptor with color invariant characteristics. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., vol. 2, pp. 1978–1983 (2006)

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  3. Brown, M., Lowe, D.: Invariant features from interest point groups. In: Proc. Brit. Mach. Vis. Conf., pp. 656–665 (2002)

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  6. Mukherjee, A., Velez-Reyes, M., Roysam, B.: Interest points for hysperspectral image data. IEEE Trans. Geosci. Remote Sensing 47, 748–760 (2009)

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© 2010 Springer-Verlag Berlin Heidelberg

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Mitchell, H.B. (2010). Image Key Points. In: Image Fusion. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11216-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-11216-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11215-7

  • Online ISBN: 978-3-642-11216-4

  • eBook Packages: EngineeringEngineering (R0)

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