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Closed-form solutions for discriminative filtering using impulse restoration techniques

Closed-form solutions for discriminative filtering using impulse restoration techniques

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In earlier works, the authors have dealt with the template detection problem by using two-dimensional discriminative filtering. A discriminative filter maximises, for a given template, the energy concentration in a single sample of its output. In this work, the authors frame discriminative filtering as an impulse restoration problem and propose closed-form solutions for it.

References

    1. 1)
      • A novel approach for template matching by nonorthogonal image expansion
    2. 2)
      • Nandy, D., Ben-Arie, J.: `EXM eigen templates for detecting and classifying arbitrary junctions', IEEE Int. Conf. Image Processing, October 1998, Chicago, IL, USA
    3. 3)
      • Mendonça, A.P., da Silva, E.A.B.: `Two-dimensional discriminative filters for image template detection', IEEE Int. Conf. Image Processing, September 2001, Tessaloniki, Greece
    4. 4)
      • Abu-Naser, A.: `Impulse restoration-based template-matching', 2000, PhD, University of Illinois, Chicago
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