SYNTHETIC TEMPLATE: EFFECTIVE TOOL FOR TARGET CLASSIFICATION AND MACHINE VISION
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 10
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.
Authors and Affiliations
Kaveh Heidary
Keywords
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- EP ID EP146697
- DOI 10.14569/IJACSA.2013.041005
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