DocumentCode
3483420
Title
Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC)
Author
Kiong, Loo Chu ; Peng, Teh Joo
Author_Institution
Fac. of Eng. & Technol., Multimedia Univ., Melaka
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
433
Lastpage
438
Abstract
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).
Keywords
object recognition; system-on-chip; 2D invariant object recognition model; field-programmable gate array; human visual pathway; image processing; lateral geniculate nucleus; primary visual cortex; quantum bio-inspired invariant object recognition model; quantum holographic memory; retina; system-on-a-chip; visual representation; Biological system modeling; Brain modeling; Field programmable gate arrays; Filters; Hardware; Humanoid robots; Humans; Object recognition; Retina; System-on-a-chip; Biological-inspired vision; FPGA design; System-on-a-chip; invariant object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1675-2
Electronic_ISBN
978-1-4244-1676-9
Type
conf
DOI
10.1109/RAMECH.2008.4681389
Filename
4681389
Link To Document