Object recognition using quantum holography with neural-net preprocessing
Document Type
Article
Publication Date
1-1-2005
Abstract
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.
Keywords
Computer science, artificial intelligence, quantum holography, quantum associative network, hologram, gabor wavelets
Divisions
ai
Publication Title
Journal of Optical Technology (JOT)
Volume
72
Issue
5
Publisher
Optical Society of America