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Proceedings Paper

Hybrid shape recognition system with microlens array processor and direct optical input
Author(s): Gerhard Bader; Peter Ott; Ernst H. Lueder; Volker R. Schmid
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Paper Abstract

We present a hybrid shape recognition system with an optical Hough transform preprocessor. A very compact design is achieved by a microlens array processor. Using incoherent light, the processor accepts direct optical input without any extra image converter being required. The microlens array processor is constructed of a crossed assembly of two low-cost plastic lenticular arrays and a Hough transform weight mask. It is integrated in a compact objective barrel, which is attached directly to a CCD-camera like a conventional camera lens. The system delivers one output signal for each of the 64 X 64 microlenses. The resolution of the microlenses and the weight mask results in an extremely high degree of parallelism. It corresponds to a connection of 4k inputs and outputs by 16M weights in parallel. The feature extraction tasks of lower computational complexity and the classification, which can be performed in real-time, are implemented as a neural network on a personal computer.

Paper Details

Date Published: 27 March 1997
PDF: 11 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270373
Show Author Affiliations
Gerhard Bader, Univ. of Stuttgart (Germany)
Peter Ott, Univ. of Stuttgart (Germany)
Ernst H. Lueder, Univ. of Stuttgart (Germany)
Volker R. Schmid, Univ. of Stuttgart (Germany)

Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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