Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)

This paper presents the first attempt of designing a physical quantum-like 'brain' for humanoid and experimentally proves a 2D invariant object recognition model inspired by the image processing along the human visual pathway: retina, lateral geniculate nucleus (LGN) and primary visual cor...

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Main Authors: Loo Chu, Kiong, Teh Joo, Peng
Format: Conference or Workshop Item
Published: 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2966/
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author Loo Chu, Kiong
Teh Joo, Peng
author_facet Loo Chu, Kiong
Teh Joo, Peng
author_sort Loo Chu, Kiong
building MMU Institutional Repository
collection Online Access
description This paper presents the first attempt of designing a physical quantum-like 'brain' for humanoid and experimentally proves a 2D invariant object recognition model inspired by the image processing along the human visual pathway: retina, lateral geniculate nucleus (LGN) and primary visual cortex (V1). It also describes storing the output of the model in quantum holographic memory (a hologram) and the method to reconstruct the visual representation. The work is implemented as system-on-a-chip in field-programmable gate array (FPGA).
first_indexed 2025-11-14T18:08:47Z
format Conference or Workshop Item
id mmu-2966
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:08:47Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling mmu-29662011-09-26T01:13:35Z http://shdl.mmu.edu.my/2966/ Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC) Loo Chu, Kiong Teh Joo, Peng T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper presents the first attempt of designing a physical quantum-like 'brain' for humanoid and experimentally proves a 2D invariant object recognition model inspired by the image processing along the human visual pathway: retina, lateral geniculate nucleus (LGN) and primary visual cortex (V1). It also describes storing the output of the model in quantum holographic memory (a hologram) and the method to reconstruct the visual representation. The work is implemented as system-on-a-chip in field-programmable gate array (FPGA). 2008-09 Conference or Workshop Item NonPeerReviewed Loo Chu, Kiong and Teh Joo, Peng (2008) Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC). In: IEEE Conference on Robotics, Automation, and Mechatronics, 21-24 SEP 2008 , Chengdu, PEOPLES R CHINA . http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=P1b4ICfofOPAd8Fa4Fi&page=100&doc=997
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Loo Chu, Kiong
Teh Joo, Peng
Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title_full Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title_fullStr Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title_full_unstemmed Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title_short Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
title_sort quantum bio-inspired invariant object recognition model on system-on-a-chip (soc)
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2966/
http://shdl.mmu.edu.my/2966/