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
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;
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
DOI :
10.1109/RAMECH.2008.4681389