3-D Object Recognition Using 2-D Poses Processed by CNNs and a GRNN

  • Övünç Polat
  • Vedat Tavşanoğlu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)


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.


Feature Vector Object Recognition Recognition Rate Radial Basis Function Neural Network Object Image 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Övünç Polat
    • 1
  • Vedat Tavşanoğlu
    • 1
  1. 1.Electronics and Communications Engineering DepartmentYıldız Technical UniversityBesiktas, IstanbulTurkey

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