1985
DOI: 10.1017/s0308210500026263
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Symmetry sets

Abstract: SynopsisFor a smooth manifold M ⊆ ℝn, the symmetry set S(M) is defined to be the closure of the set of points u∈ℝn which are centres of spheres tangent to M at two or more distinct points. (The idea has its origin in the theory of shape recognition.) The connexion with singularities is that S(M) can be described alternatively as the levels bifurcation set of the family of distance-squared functions on M. In this paper a multi-germ version of the standard uniqueness result for versal unfoldings of potential fun… Show more

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Cited by 82 publications
(95 citation statements)
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“…As we mentioned, two tangent segments to an oval γ are equal if and only if there is a circle touching γ at these tangency points. The locus of centers of such bitangent circles is called the symmetry set of γ [2]. Thus our problem is closely related to the geometry of symmetry sets.…”
Section: Constructionmentioning
confidence: 99%
“…As we mentioned, two tangent segments to an oval γ are equal if and only if there is a circle touching γ at these tangency points. The locus of centers of such bitangent circles is called the symmetry set of γ [2]. Thus our problem is closely related to the geometry of symmetry sets.…”
Section: Constructionmentioning
confidence: 99%
“…If the restriction in the definition of the MA regarding maximal circles is omitted, the Symmetry Set is obtained: The Symmetry Set (SS) is defined as the closure of the set of centers of circles that are tangent to the shape at least two points [9,11,16,15]. Obviously, the MA and the R-skeleton are a subset of the SS [15].…”
Section: Symmetry Setsmentioning
confidence: 99%
“…The MA is a sub-set of the Symmetry Set (SS) [11]. The SS exhibits nice mathematical properties, but is more difficult to compute than the MA.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the computation of skeletons and symmetry sets of planar shapes is a subject that received a great deal of attention from the mathematical (see Bruce et al, 1985;Bruce and Giblin, 1992 and references therein), computational geometry (Preparata and Shamos, 1990), biological vision (Kovács and Julesz, 1994;Lee et al, 1995;Leyton, 1992), and computer vision communities (see for example Ogniewicz, 1993;Serra, 1982 and references therein) since the original work by Blum (1967Blum ( , 1973.…”
Section: Introductionmentioning
confidence: 99%