Abstract
Landmark-based approaches to robot navigation require an 'interest operator' to estimate the utility of a particular image region as an effective representative for a scene. This paper presents a color interest operator consisting of a weighted combination of heuristic scores. The operator selects those image regions (landmarks) likely to be found again, even under a different viewing geometry and/or different illumination conditions. These salient regions yield a robust representation for recognition of a scene. Experiments showing the reproduceability of the regions selected by this operator demonstrate its use as a hedge against environmental uncertainties.
| Original language | English (US) |
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| Pages | 655-660 |
| Number of pages | 6 |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97 - Providence, RI, USA Duration: Jul 27 1997 → Jul 31 1997 |
Other
| Other | Proceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97 |
|---|---|
| City | Providence, RI, USA |
| Period | 7/27/97 → 7/31/97 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence