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Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.041005
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 10, 2013.
Abstract: A process for replacing a voluminous image dictionary, which characterizes a certain target of interest in a constrained zone of effectiveness representing controlled states including scale and view angle, with a synthetic template has been developed. Synthetic template (ST) is a spatial map (grayscale image) obtained by combining the set of zone-specific training images that are ascribed to the target of interest. It has been shown that the solo-template ST correlation filter outperforms filter banks comprised of multiple target-class training images. A geometric interpretation of the basic ST concept is employed in order to further explain and substantiate its properties.
Kaveh Heidary, “Synthetic template: effective tool for target classification and machine vision” International Journal of Advanced Computer Science and Applications(IJACSA), 4(10), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041005