Arbitrary shape Hough transform by invariant geometric features

Aguado, A.S., Montiel, M.E. and Nixon, M.S. (1997) Arbitrary shape Hough transform by invariant geometric features. IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, , Orlando, FL, United States. 12 - 15 Oct 1997. pp. 2661-2664 . (doi:10.1109/ICSMC.1997.635337).

Record type: Conference or Workshop Item (Other)

Abstract

The Hough transform (HT) is an established technique which evidences a shape by mapping image edge points into a parameter space. Previously, the formulation of the HT has been extended to extract analytic arbitrary shapes which change their appearance according to similarity transformations. In this paper, we discuss a more general formulation which incorporates the extraction of arbitrary shapes under more general transformations than similarity mappings. The main contributions of this paper are: we show that, in general, the complexity of the HT mapping does not depend on the complexity or irregularity of the shape to be located; and we demonstrate that the concept of invariance can provide a general principle to avoid increase in computational complexity when the HT is extended to arbitrary shapes and general transformations.

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Published date: 1997

Additional Information: Organisation: IEEE Address: Orlando, Florida

Venue - Dates: IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, , Orlando, FL, United States, 1997-10-12 - 1997-10-15

Organisations: Vision, Learning and Control

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