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, 72 (5). pp. 358-368. ISSN 1070-9762

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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.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 12 Aug 2011 06:36
Last Modified: 12 Aug 2011 06:36
URII: http://shdl.mmu.edu.my/id/eprint/2235


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