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Proceedings Paper

Partial shape recognition of 2D shapes using normalized interval vertex descriptors
Author(s): Ramon Parra-Loera
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Paper Abstract

A new technique for recognizing partially occluded or incomplete 2-D representations of man made objects is presented here. Recognition is performed without regard for orientation, position, and scale of the objects. This technique based on Normalized Interval Vertex Descriptors (NIVD) a representation derived from the physical characteristic of an object (vertices and sides) that is easy to obtain, especially for polygon like shapes. NIVD shape representation is a periodic scale, rotation and translation invariant function of the contour of the object. Although global in nature, NIVDs, through a subtemplate matching and a renormalization process of the matching sections, can be used for partial shape recognition. Objects on the scene are identified as belonging to a given class by finding the largest partial match of the object representation and a previously acquired clean representation of the class model. Experimental results of this technique are also included.

Paper Details

Date Published: 1 November 1992
PDF: 9 pages
Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); doi: 10.1117/12.132061
Show Author Affiliations
Ramon Parra-Loera, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1823:
Machine Vision Applications, Architectures, and Systems Integration
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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