1 November 1992 Partial shape recognition of 2-D shapes using normalized interval vertex descriptors
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Proceedings Volume 1823, Machine Vision Applications, Architectures, and Systems Integration; (1992) https://doi.org/10.1117/12.132061
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramon Parra-Loera, Ramon Parra-Loera, } "Partial shape recognition of 2-D shapes using normalized interval vertex descriptors", Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); doi: 10.1117/12.132061; https://doi.org/10.1117/12.132061
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