Object recognition using quantum holography with neural-net preprocessing

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,

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Official URL: http://www.opticsinfobase.org/jot/abstract.cfm?id=...


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.

Item Type: Article
Uncontrolled Keywords: Computer science; artificial intelligence; quantum holography; quantum associative network; hologram; gabor wavelets
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Miss Nur Jannatul Adnin Ahmad Shafawi
Date Deposited: 19 Mar 2013 00:28
Last Modified: 08 Jul 2017 07:56
URI: http://eprints.um.edu.my/id/eprint/5176

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