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Similarity and symmetry measures for convex shapes using Minkowski addition
1998
IEEE Transactions on Pattern Analysis and Machine Intelligence
This paper is devoted to similarity and symmetry measures for convex shapes whose de nition is based on Minkowski addition and the Brunn-Minkowski inequality. This means in particular that these measures are region-based, in contrast to most of the literature, where one considers contour-based measures. All measures considered in this paper are invariant under translations; furthermore, they can be chosen to be invariant under rotations, multiplications, re ections, or the class of a ne
doi:10.1109/34.713363
fatcat:xtvwiljpyzamfjxokxcnsfpfpu