TY  - CONF
A1  - Elsen, Ingo
A1  - Kraiss, Karl-Friedrich
A1  - Krumbiegel, Dirk
T1  - Pixel based 3D object recognition with bidirectional associative memories
T2  - International Conference on Neural Networks 1997
N2  - This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.
Y1  - 1997
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/10621
SN  - 0-7803-4122-8
N1  - June 9 - 12, 1997, Westin Galleria Hotel Houston, Texas, USA.
SP  - 1679
EP  - 1684
PB  - IEEE
CY  - New York
ER  -