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 cortex (...

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Bibliographic Details
Published in2008 IEEE Conference on Robotics, Automation and Mechatronics pp. 433 - 438
Main Authors Kiong, L.C., Peng, T.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2008
Subjects
Biological system modeling
Biological-inspired vision
Brain modeling
Field programmable gate arrays
Filters
FPGA design
Hardware
Humanoid robots
Humans
invariant object recognition
Object recognition
Retina
System-on-a-chip
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Summary: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).
ISBN:9781424416752
1424416752
ISSN:2158-2181
DOI:10.1109/RAMECH.2008.4681389