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      • Department of Electrical and Electronics Engineering
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      Computationally efficient wavelet affine invariant functions for shape recognition

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      Author(s)
      Bala, E.
      Çetin, A. Enis
      Date
      2004
      Source Title
      IEEE Transactions on Pattern Analysis and Machine Intelligence
      Print ISSN
      0162-8828
      Publisher
      IEEE
      Volume
      26
      Issue
      8
      Pages
      1095 - 1099
      Language
      English
      Type
      Article
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      Abstract
      An affine invariant function for object recognition is constructed from wavelet coefficients of the object boundary. In previous works, undecimated dyadic wavelet transform was used to construct affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute an affine invariant function. As a result computational complexity is reduced without decreasing recognition performance. Experimental results are presented. © 2004 IEEE.
      Keywords
      Algorithms
      Approximation theory
      Computational complexity
      Computer simulation
      Correlation methods
      Image analysis
      Matrix algebra
      Wavelet transforms
      Affine transformation
      Computational efficiency
      Decimated wavelet transform
      Shape recognition
      Object recognition
      Permalink
      http://hdl.handle.net/11693/24244
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/TPAMI.2004.39
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      • Department of Electrical and Electronics Engineering 4011
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