Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a `door-in-a-floor' problem

M. Csapodi, L. Nemes, G. Toth, T. Roska, A. Radvanyi

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

In this paper three interesting analogic CNN algorithms are presented for three tasks. The first task is to move a given 2D object along a prescribed path, the second task is the approximation of 3D surfaces by various interpolation and approximation methods and the third task is a specific detection problem. In this detection problem our task is to detect a `door-in-a-floor' by finding the handle and possibly the place of a text or symbol on the door. The solution methods of the tasks are summarized below.

Original languageEnglish
Pages435-440
Number of pages6
Publication statusPublished - Dec 1 1994
EventProceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) - Rome, Italy
Duration: Dec 18 1994Dec 21 1994

Other

OtherProceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)
CityRome, Italy
Period12/18/9412/21/94

ASJC Scopus subject areas

  • Software

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    Csapodi, M., Nemes, L., Toth, G., Roska, T., & Radvanyi, A. (1994). Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a `door-in-a-floor' problem. 435-440. Paper presented at Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94), Rome, Italy, .