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A unified framework for image-derived invariants

  • Yuan-Fang Wang
  • Ronald-Bryan O. Alferez
Session F1B: Low-Level Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1351)

Abstract

We propose a general framework for computing invariant features from images. The proposed approach is based on a simple concept of basis expansion. It is widely applicable to many popular basis representations, such as wavelets, short-time Fourier transform, and splines.

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References

  1. 1.
    I. Daubechies. Orthonormal Bases of Compactly Supported Wavelets. Comm-Pure Appl. Math., 41:909–960, 1988.Google Scholar
  2. 2.
    H. W. Guggenheimer. Differential Geometry. M.Graw-Hill, New York, 1963.Google Scholar
  3. 3.
    T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features. Springer-Verlag, Berlin, 1993.Google Scholar
  4. 4.
    D. F. Roger. and J. A. Adams. Mathematical Elements for Computer Graphics, 2nd Ed. McGraw-Hill, New York, NY, 1990.Google Scholar
  5. 5.
    Y. F. Wang. A New Framework for Image Invariants using Basis Expansion. Technical Report TRCS97-02, Dept. of Computer Science, UCSB, Feb. 1997.Google Scholar
  6. 6.
    I. Weiss. Geometric Invariants and Object Recognition. It. J. Comput. Vision, 10(3):207–231, 1993.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Yuan-Fang Wang
    • 1
  • Ronald-Bryan O. Alferez
    • 1
  1. 1.Department of Computer ScienceUniversity of CaliforniaSanta Barbara

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