Nested local symmetry set

Date

2000-08-01

Author

Tarı, Zehra Sibel

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A local-symmetry-based representation for shapes in arbitrary dimensions and a method for its computation are presented. The method depends on analyzing the Hessian of a specific boundaryness function, v, which is computed as the minimizer of an energy functional. The method is basically a generalized ridge finding scheme in which the ridges are defined in terms of the orbit of the gradient vector del v under the action of the Hessian of v. Once the ridges are determined, the local extrema of the magnitude of the gradient of v along the level hypersurfaces of v are used for the classification of the ridges. For the two-dimensional case, the representation reduces to the representation presented by Tari, Shah, and Pien (1997, Comput. Vision Image Understanding 66, 133-146). (C) 2000 Academic Press.

Subject Keywords

Signal Processing, Software, Computer Vision and Pattern Recognition

URI

https://hdl.handle.net/11511/56638

Journal

COMPUTER VISION AND IMAGE UNDERSTANDING

DOI

https://doi.org/10.1006/cviu.2000.0856

Collections

Department of Computer Engineering, Article

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Citation Formats

Z. S. Tarı, “Nested local symmetry set,” COMPUTER VISION AND IMAGE UNDERSTANDING, pp. 267–280, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56638.