1 January 1990 Symmetry detection of 2-D figures
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Abstract
A method for symmetry detection of 2-D figures is presented. This approach uses eigenvector fitting to find the approximate directions of the axes of symmetry. A normalized error of distance-difference is used as the validity measure of candidate lines for symmetry axes. The complexity of the search space of lines of symmetry is a constant, while the complexity of the algorithm is O(n) where n is the number of pixels on the boundary of the figure.
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Gongzhu Hu, Gongzhu Hu, } "Symmetry detection of 2-D figures", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21100; https://doi.org/10.1117/12.21100
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