SKEW-SYMMETRY DETECTION VIA INVARIANT SIGNATURES

We propose a new approach to skew-symmetry detection, based on the the ory of invariant signatures for planar objects. Invariant signatures a ssociated to object boundaries are generalizations of the curvature ve rsus arclength description of curves, invariant under geometric transf ormations more complex than the Euclidean ones. We show that symmetrie s of objects, and hence of closed boundaries, translate into simple st ructures in the invariant signature functions and are therefore, in pr inciple, readily detectable. (C) 1997 Pattern Recognition Society. Pub lished by Elsevier Science Ltd.