Paper
18 July 1988 Optical In-Plane Distortion Invariant Pattern Recognition In Structured Noise
D. Miazza, M. Kabrisky, M. Mayo, S. Rogers, J. Mills
Author Affiliations +
Abstract
An architecture for an optical processor for recognizing and locating objects in cluttered two-dimensional scenes without prior knowledge of the position, scale, or in-plane rotation has been developed. The system involves Fourier transforms, a computer generated hologram for coordinate transformation, a technique for optical phase extraction, optical correlators, and spatial light modulators (SLMs). Experiments have been conducted to verify parts of the design.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Miazza, M. Kabrisky, M. Mayo, S. Rogers, and J. Mills "Optical In-Plane Distortion Invariant Pattern Recognition In Structured Noise", Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); https://doi.org/10.1117/12.947044
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KEYWORDS
Spatial light modulators

Fourier transforms

Target recognition

Transform theory

Computer generated holography

Detection and tracking algorithms

Algorithm development

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