Hybrid shape recognition system with microlens array processor and direct optical input

Gerhard Bader; Peter Ott; Ernst H. Lueder; Volker R. Schmid

doi:10.1117/12.270373

27 March 1997 Hybrid shape recognition system with microlens array processor and direct optical input

Gerhard Bader, Peter Ott, Ernst H. Lueder, Volker R. Schmid

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270373
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Gerhard Bader, Peter Ott, Ernst H. Lueder, and Volker R. Schmid "Hybrid shape recognition system with microlens array processor and direct optical input", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270373

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