Recognition Of Three Dimensional Objects Using Linear Prediction

Yehia M. Enab; F. W. Zaki; S. H. El-Konyaly; A. I. Abd El-Fattah

doi:10.1117/12.976608

22 August 1988 Recognition Of Three Dimensional Objects Using Linear Prediction

Yehia M. Enab, F. W. Zaki, S. H. El-Konyaly, A. I. Abd El-Fattah

Proceedings Volume 0938, Digital and Optical Shape Representation and Pattern Recognition; (1988) https://doi.org/10.1117/12.976608
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Yehia M. Enab, F. W. Zaki, S. H. El-Konyaly, and A. I. Abd El-Fattah "Recognition Of Three Dimensional Objects Using Linear Prediction", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976608

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