Abstract | ||
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Animals routinely rely on their eyes to localize fixed and moving targets especially with the goal of either avoiding or capturing them. Detection of position of targets in space is an important problem in such a localization process for the motor control circuit to actuate a successful movement. The purpose of this paper is to sketch a binocular visual system that includes image capturing, retinal projection, sparse representation and data fusion, multi-neural encoding in the cortex down to detection of depth of objects from activity waves using nonlinear dynamics of an oscillatory network. The general strategies from visual circuitry, some of which may not be employed by the animal, could perhaps be employed in building machines with multiple sensors |
Year | DOI | Venue |
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2006 | 10.1109/ACC.2006.1656557 | Minneapolis, MN |
Keywords | DocType | Volume |
image motion analysis,nonlinear systems,object detection,robot vision,visual perception,kuramoto model,binocular visual system,data fusion,depth detection,image capturing,localization process,motor control circuit,multineural encoding,nonlinear dynamics,nonlinear system,oscillatory network,retinal projection,sparse representation,target position detection,visual system,circuits,sensor fusion,indexing terms,layout,motor control | Conference | 1-12 |
ISSN | ISBN | Citations |
0743-1619 | 1-4244-0210-7 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wenxue Wang | 1 | 0 | 0.34 |
Ghosh, B.K. | 2 | 8 | 3.23 |