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.


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      • 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.
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      • Abu-Naser, A.: `Impulse restoration-based template-matching', 2000, PhD, University of Illinois, Chicago.

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