3-D object recognition using 2-d poses processed by CNNs and a GRNN

Authors:
Övünç Polat;Vedat Tavşanoğlu
Affiliations:
Electronics and Communications Engineering Department, Yıldız Technical University, Besiktas, Istanbul, Turkey;Electronics and Communications Engineering Department, Yıldız Technical University, Besiktas, Istanbul, Turkey
Venue:
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
Year:
2005

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Abstract

This paper presents a novel approach to automatically recognize objects. The system used is a new model that contains two blocks; one for extracting direction and pixel features from object images using Cellular Neural Networks (CNN), and the other for classification of objects using a General Regression Neural Network (GRNN). A data set consisting of different properties of 10 different objects is prepared by CNN.