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

@article{Heidary2013,
title = {Synthetic template: effective tool for target classification and machine vision},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041005},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041005},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {10},
author = {Kaveh Heidary}
}