Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform

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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Bibliographic Details
Main Author: Voils, Danny
Format: Others
Published: PDXScholar 2012
Subjects:
Brain
Cortex
HMAX
Computational neuroscience
Robot vision
Pattern recognition systems
Image processing > Digital techniques > Computer programs
Optical character recognition devices
Artificial Intelligence and Robotics
Electrical and Computer Engineering
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

Internet

https://pdxscholar.library.pdx.edu/open_access_etds/632
https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1631&context=open_access_etds

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