Robust localization using panoramic view-based recognition

11 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 4136-4139
https://doi.org/10.1109/icpr.2000.902882

Abstract

The results of recent studies on the possibility of spa- tial localization from panoramic images have shown good prospects for view-based methods. The major advantages of these methods are a wide field-of-view, capability of mod- elling cluttered environments, and flexibility in the learning phase. The redundant information captured in similar views is efficiently handled by the eigenspace approach. However, the standard approaches are sensitive to noise and occlu- sion. In this paper, we present a method of view-based lo- calization in a robust framework that solves these problems to a large degree. Experimental results on a large set of real panoramic images demonstrate the effectiveness of the approach and the level of achieved robustness.

Keywords

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