DocumentCode :
2515848
Title :
Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a “door-in-a-floor” problem
Author :
Csapodi, M. ; Nemes, L. ; Tóth, G. ; Roska, T. ; Radványi, A.
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
435
Lastpage :
440
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
Keywords :
cellular neural nets; position control; 3D interpolation-approximation; analogic CNN algorithms; door-in-a-floor problem; object rotation; Approximation methods; Casting; Cellular neural networks; Equations; Interpolation; Laboratories; Object detection; Size control; State feedback; Turing machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
Type :
conf
DOI :
10.1109/CNNA.1994.381636
Filename :
381636
Link To Document :
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