Abstract
This paper presents the 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-ona- chip in field-programmable gate array (FPGA).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Braccini, C., Gambardella, G., Sandini, G., Tagliasco, V.: A model of the early stages of the human visual system: Functional and topological transformations performed in the peripheral visual field. Biological Cybernetics 44(4), 47–58 (1982)
Reitboeck, H.J., Altmann, J.: A model for size- and rotation-invariant pattern processing in the visual system. Biological Cybernetics 51(2), 113–121 (1984)
Deco, G., Rolls, E.T.: A neurodynamical cortical model of visual attention and invariant object recognition. Vision Research 44(6), 621–642 (2004)
Cobos, P., Monasterio, F.: FPGA implementation of a log-polar algorithm for real time applications. In: Dcis 1999 Proc. XIV Design of circuits and integrated systems conference (DCIS), pp. 63–68 (1999)
Torres-Huitzil, C., Girau, B., Castellanos-Sánchez, C.: On-chip visual perception of motion: A bio-inspired connectionist model on FPGA. Neural Networks 18, 557–565 (2005)
Perus, M., Bischof, H., Loo, C.K.: Bio-computational model of object recognition: Quantum Hebbian Processing with Gabor Wavelets. BioSystems 82, 116–126 (2005)
Morrone, M., Burr, D.: Feature detection in human vision: a phase dependent energy model. Proc. R. Soc. Lond. B, Biological Sciences 235(1280), 221–245 (1988)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Loo, C.K., Peng, T.J. (2008). Quantum Bio-inspired Vision Model on System-on-a-Chip (SoC). In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2008. Lecture Notes in Computer Science, vol 5216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85857-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-85857-7_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85856-0
Online ISBN: 978-3-540-85857-7
eBook Packages: Computer ScienceComputer Science (R0)