A Conformal Mapping based Shape Signature for Object Recognition

نویسنده

  • M. Radhika Mani
چکیده

A novel method for designing a signature based on the conformal mapping is proposed. Conformal mapping function preserves the local angles of the shape of the object. Schwarz Christoffel mapping transformation is effectively implemented. A conformal transformation of the upper half plane onto the interior of a simple polygon is carried out. The widely used in 2-D potential flow for the computation of the complex potential of the flow by a line source located in a two dimensional channel is familiarized. A novel Complex Potential Source (CPS) descriptor for the shape based object recognition is designed. CPS is mediated through the Fourier transformation during the description stage, while the feature vector is generated. The CPS descriptor uses Chebyshev distance measure for the shape toning stage. It is experimented over the versatile MPEG7 CE-1 Set B database. The results witness the efficiency of the proposed method than that reported for other descriptors of contemporary interests. Key-Words: Schwarz Christoffel transformation, Fourier transformation, Distance, Feature Vector, Shape Toning and Performance Measures.

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تاریخ انتشار 2015