Assessing real object similarities involves generating supporting point vector sets with parameterized object data, transforming according to base functions to determine complex coefficients, grouping into characteristic vector components

摘要

The method involves assessing the similarities of characteristic vectors describing real objects by generating sets of supporting point vectors containing parameterized data for objects to be compared, transforming in accordance with base functions to determine complex coefficients of the base functions and grouping the coefficients to form components of characteristic vectors, determining similarities of base vectors, repeating for selectable supporting points and assessing contour similarity in accordance with a selectable threshold value.