Abstract
The study discusses such an important aspect of computer vision in technical vision systems as object recognition features formation. Such systems, which are widely applied in a variety of industries, allow for the rapid acquisition of a vast amount of information. At the same time, information about the observed objects’ properties, which often include movement, as well as the geometric parameters of their shape, is collected. The authors propose using object recognition features, which are based on orthoexponential functions and which retain information about the studied object’s shape. Examples of calculated complex values of the shape matrix’s elements are presented for some regular geometric shapes’ contours. The shape matrix is obtained based on the decomposition coeffi cients of orthoexponential functions discussed in the study.
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