Figures
Motion computation on the fly.
This image shows a hoverfly, Eristalis tenax, face to face with a VLSI vision chip that mimics neurons involved in real-time motion processing. The fly is a superb model for biologically inspired vision, since many key image processing stages have been studied in depth physiologically. Computational models that take full account of the adaptive properties of fly vision provide robust and efficient processing of motion in natural scenes independent of their structure. Such models are well suited to VLSI implementation or other low-power approaches to real-time artificial image processing (see Brinkworth and O'Carroll, doi:10.1371/journal.pcbi.1000555).
Image Credit: David C O'Carroll (The University of Adelaide)
Citation: (2009) PLoS Computational Biology Issue Image | Vol. 5(11) November 2009. PLoS Comput Biol 5(11): ev05.i11. https://doi.org/10.1371/image.pcbi.v05.i11
Published: November 26, 2009
Copyright: © 2009 Brinkworth, O'Carroll. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This image shows a hoverfly, Eristalis tenax, face to face with a VLSI vision chip that mimics neurons involved in real-time motion processing. The fly is a superb model for biologically inspired vision, since many key image processing stages have been studied in depth physiologically. Computational models that take full account of the adaptive properties of fly vision provide robust and efficient processing of motion in natural scenes independent of their structure. Such models are well suited to VLSI implementation or other low-power approaches to real-time artificial image processing (see Brinkworth and O'Carroll, doi:10.1371/journal.pcbi.1000555).
Image Credit: David C O'Carroll (The University of Adelaide)