Color interest operator for landmark-based navigation

Zachary Dodds, Gregory D. Hager

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish (US)
Pages655-660
Number of pages6
StatePublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97 - Providence, RI, USA
Duration: Jul 27 1997Jul 31 1997

Other

OtherProceedings of the 1997 14th National Conference on Artificial Intelligence, AAAI 97
CityProvidence, RI, USA
Period7/27/977/31/97

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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