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Object recognition using quantum holography with neural-net preprocessing

It is computationally demonstrated how quantum associative networks, implemented using quantum holography, could be harnessed for object recognition. These simulated quantum nets alone execute efficient image recognition, i.e., reconstruction of an image selected from associative memory (hologram)....

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Main Authors: Loo, C.K., Perus, M., Bischof, H.
Format: Article
Published: Optical Society of America 2005
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/5176/
http://www.opticsinfobase.org/jot/abstract.cfm?id=84246
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spelling my.um.eprints.51762017-07-08T07:56:43Z http://eprints.um.edu.my/5176/ Object recognition using quantum holography with neural-net preprocessing Loo, C.K. Perus, M. Bischof, H. T Technology (General) It is computationally demonstrated how quantum associative networks, implemented using quantum holography, could be harnessed for object recognition. These simulated quantum nets alone execute efficient image recognition, i.e., reconstruction of an image selected from associative memory (hologram). However, optically implementable neural-net preprocessing of object-images is needed for appearance-based viewpoint-invariant recognition of objects. We present computer simulation results of two methods: Moore-Penrose orthogonalization and encoding of object-images with Gabor wavelets. A computer-supported quantum Gabor-wavelet holography is proposed. Optical Society of America 2005 Article PeerReviewed Loo, C.K. and Perus, M. and Bischof, H. (2005) Object recognition using quantum holography with neural-net preprocessing. Journal of Optical Technology (JOT), 72 (5). pp. 358-363. ISSN 1070-9762 http://www.opticsinfobase.org/jot/abstract.cfm?id=84246
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Loo, C.K.
Perus, M.
Bischof, H.
Object recognition using quantum holography with neural-net preprocessing
description It is computationally demonstrated how quantum associative networks, implemented using quantum holography, could be harnessed for object recognition. These simulated quantum nets alone execute efficient image recognition, i.e., reconstruction of an image selected from associative memory (hologram). However, optically implementable neural-net preprocessing of object-images is needed for appearance-based viewpoint-invariant recognition of objects. We present computer simulation results of two methods: Moore-Penrose orthogonalization and encoding of object-images with Gabor wavelets. A computer-supported quantum Gabor-wavelet holography is proposed.
format Article
author Loo, C.K.
Perus, M.
Bischof, H.
author_facet Loo, C.K.
Perus, M.
Bischof, H.
author_sort Loo, C.K.
title Object recognition using quantum holography with neural-net preprocessing
title_short Object recognition using quantum holography with neural-net preprocessing
title_full Object recognition using quantum holography with neural-net preprocessing
title_fullStr Object recognition using quantum holography with neural-net preprocessing
title_full_unstemmed Object recognition using quantum holography with neural-net preprocessing
title_sort object recognition using quantum holography with neural-net preprocessing
publisher Optical Society of America
publishDate 2005
url http://eprints.um.edu.my/5176/
http://www.opticsinfobase.org/jot/abstract.cfm?id=84246
_version_ 1643687505750392832
score 13.160551

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