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Simulated quantum-optical object recognition from high-resolution imagesLoo, Chu Kiong ; Peruš, Mitja ; Bischof, HorstA holographic experimental procedure assuming use of quantum states oflight is simulated. It uses merely interference-based image storage and nonunitary image retrieval realized by wave function ... collapse. Successful results of computational view-invariant recognition of object images are presented. As inneural net theory, recognition is selective reconstruction of an image from a database of many concrete images (simultaneously stored in an associative memory) after presentation of a different version of that image. That is, in the first step, we store many high-resolution images of objects into quantum memory (a hologram). In the second step, we present a "nonlearned" noisy imageversion. We thereby trigger memory-influenced reorganization of the stateof the system so that it finally encodes those corrected object images that correspond to the newly presented version. The holographic procedure seems to be implementable with present-day quantum optics.Source: Optics and spectroscopy. - ISSN 0030-400X (Vol. 99, no. 2, 2005, str. 218-223)Type of material - article, component partPublish date - 2005Language - englishCOBISS.SI-ID - 28832517
Author
Loo, Chu Kiong |
Peruš, Mitja |
Bischof, Horst
Topics
fizika |
nevronske mreže |
računalniški vid |
hologrami |
računalništvo |
optika |
razpoznavanje predmetov |
kvantni računalniki
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Loo, Chu Kiong | ![]() |
Peruš, Mitja | 15796 |
Bischof, Horst | ![]() |
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