Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform
This paper proposes an end-to-end, scale invariant, visual object recognition system, composed of computational components that mimic the cortex in the brain. The system uses a two stage process. The first stage is a filter that extracts scale invariant features from the visual field. The second sta...
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| Format: | Others |
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PDXScholar
2012
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| Online Access: | https://pdxscholar.library.pdx.edu/open_access_etds/632 https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1631&context=open_access_etds |