Optical associative processor for general linear transformations
Raghuram Krishnapuram, David Casasent · Applied Optics · 1987
A new technique for the realization of general linear transformations using associative memories is described. An optical architecture for its implementation is also presented. A low-level feature space processor using this architecture is proposed. The processor is capable of recognizing and locating objects of various shapes and uses certain linear transformations in the feature space for distortion invariance.