Robot vision
On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of generalized principal axes is rotationally symmetric shapes
Pattern Recognition
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity and Symmetry Measures for Convex Shapes Using Minkowski Addition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetry as a Continuous Feature
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper we propose effcient algorithms for computation of symmetry degree (measure of symmetry) for polygonal shapes. The algorithms are based on turning function representation and the approach developed in [1] for comparing polygonal shapes. These algorithms allow computation of reflection and rotation symmetry measures which are invariant to translations, rotations and scaling of shapes. Using normalization technique we show how it is possible to apply them for computation of skew symmetry measures as well.