Recognition Of Three Dimensional Objects Using Linear Prediction
Yehia M. Enab, Fayez W. Zaki, S. H. El-Konyaly, A.I. Abd el-Fattah · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
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.