A multilayered approach to location recognition
Outlined here is a framework for an autonomous mobile robot system for recognizing and mapping locations. The Scale Invariant Feature Transform is a powerful machine vision technique, but performs poorly on uniform colored or low contrast objects. We therefore set out to complement SIFT with other m...
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| creator | Wimpey, B.J. Drucker, E. Martin, M. Potter, W.D. |
| description | Outlined here is a framework for an autonomous mobile robot system for recognizing and mapping locations. The Scale Invariant Feature Transform is a powerful machine vision technique, but performs poorly on uniform colored or low contrast objects. We therefore set out to complement SIFT with other machine vision techniques for a robust location recognition system in order to create better fingerprints of locations. |
| doi_str_mv | 10.1109/SECON.2009.5174077 |
| format | Conference Proceeding |
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| ispartof | IEEE Southeastcon 2009, 2009, p.206-209 |
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| language | eng |
| recordid | cdi_ieee_primary_5174077 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer vision Fingerprint recognition Image edge detection Image recognition Layout Machine vision Mobile robots Navigation Robustness Simultaneous localization and mapping |
| title | A multilayered approach to location recognition |
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