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Proceedings Paper

Recognition Of Three Dimensional Objects Using Linear Prediction
Author(s): Yehia M. Enab; F. W. Zaki; S. H. El-Konyaly; A. I. Abd El-Fattah
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Paper Abstract

In this paper a system for representing and recognizing three dimensional (3-D) objects is introduced. This system depends on segmenting object surface into surface patches, each patch belongs to a single type of surface primitive such as plane, sphere,...,etc. The concept of " primitive classifier " using discriminant or decision function is introduced. This classifier is designed according to what will be called "prediction functions" for each type of primitive surface. The 3-D object is represented by a model containing selected features obtained from its surface patches. According to this type of representation, a recognition algorithm for 3-D objects is designed. The performance of these techniques is tested using computer simulation.

Paper Details

Date Published: 22 August 1988
PDF: 8 pages
Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); doi: 10.1117/12.976608
Show Author Affiliations
Yehia M. Enab, Clemson University (United States)
F. W. Zaki, Mu'ta University (Jordan)
S. H. El-Konyaly, Mansoura University (Egypt)
A. I. Abd El-Fattah, Mansoura University (Egypt)

Published in SPIE Proceedings Vol. 0938:
Digital and Optical Shape Representation and Pattern Recognition
Richard D. Juday, Editor(s)

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