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: 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/2235/
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author Loo, C. K.
Perus, M.
Bischof, H.
author_facet Loo, C. K.
Perus, M.
Bischof, H.
author_sort Loo, C. K.
building MMU Institutional Repository
collection Online Access
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. (c) 2005 Optical Society of America.
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spelling mmu-22352011-08-12T06:36:48Z http://shdl.mmu.edu.my/2235/ Object recognition using quantum holography with neural-net preprocessing Loo, C. K. Perus, M. Bischof, H. Q Science (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. (c) 2005 Optical Society of America. 2005-05 Article NonPeerReviewed Loo, C. K. and Perus, M. and Bischof, H. (2005) Object recognition using quantum holography with neural-net preprocessing. Journal of Optical Technology, 72 (5). pp. 358-368. ISSN 1070-9762 http://dx.doi.org/10.1364/JOT.72.000358 doi:10.1364/JOT.72.000358 doi:10.1364/JOT.72.000358
spellingShingle Q Science (General)
Loo, C. K.
Perus, M.
Bischof, H.
Object recognition using quantum holography with neural-net preprocessing
title 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_short Object recognition using quantum holography with neural-net preprocessing
title_sort object recognition using quantum holography with neural-net preprocessing
topic Q Science (General)
url http://shdl.mmu.edu.my/2235/
http://shdl.mmu.edu.my/2235/
http://shdl.mmu.edu.my/2235/