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Recognition and Shape Synthesis of 3-D Objects Based on Attributed Hypergraphs
March 1989 (vol. 11 no. 3)
pp. 279-290

A computer vision system is presented for shape synthesis and recognition of three-dimensional objects using an attributed hypergraph representation. The vision system is capable of: (1) constructing an attributed hypergraph representation (AHR) based on the information extracted from an image with range data; (2) synthesizing several AHRs obtained from various views of an object to form a complete AHR of the object; and (3) recognizing any view of an object of finding the graph monomorphism between the AHR of that view and the complete AHR of a prototype object. This system is implemented on a Grinnell imaging system driven by a VAX 11/750 running VMS.

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Index Terms:
3D object recognition; computerised pattern recognition; attributed hypergraphs; computer vision; shape synthesis; range data; graph monomorphism; Grinnell imaging system; computer vision; computerised pattern recognition; graph theory
Citation:
A.K.C. Wong, S.W. Lu, M. Rioux, "Recognition and Shape Synthesis of 3-D Objects Based on Attributed Hypergraphs," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 3, pp. 279-290, March 1989, doi:10.1109/34.21797
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