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Proceedings Paper

Symmetry detection of 2-D figures
Author(s): Gongzhu Hu
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Paper 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.

Paper Details

Date Published: 1 January 1990
PDF: 8 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21100
Show Author Affiliations
Gongzhu Hu, Central Michigan Univ. (United States)

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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