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Related Experiment Videos

Computationally efficient wavelet affine invariant functions for shape recognition.

Erdem Bala1, A Enis Cetin

  • 1Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. erdem@udel.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|January 12, 2005
PubMed
Summary

This study introduces a new algorithm for object recognition using decimated wavelet transforms, reducing computational complexity for affine invariant functions without sacrificing performance.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Object recognition relies on identifying unique features invariant to transformations.
  • Previous methods utilized undecimated dyadic wavelet transform for affine invariance.
  • Computational efficiency remains a challenge in wavelet-based recognition systems.

Purpose of the Study:

  • To develop a computationally efficient algorithm for generating affine invariant functions for object recognition.
  • To explore the use of decimated wavelet transform for constructing these invariant functions.
  • To evaluate the performance of the new algorithm against existing methods.

Main Methods:

  • An algorithm was developed based on the decimated wavelet transform.
  • Wavelet coefficients of object boundaries were used to construct the affine invariant function.

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  • Computational complexity was analyzed and compared to previous approaches.

    • Main Results:

    • The proposed algorithm successfully computes an affine invariant function.
    • A significant reduction in computational complexity was achieved.
    • Recognition performance was maintained at levels comparable to previous methods.

    Conclusions:

    • Decimated wavelet transform offers a more efficient approach to computing affine invariant functions for object recognition.
    • The developed algorithm provides a practical solution for real-time applications.
    • Further research can explore variations of the decimated wavelet transform for enhanced recognition capabilities.