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Robust localization using panoramic view-based recognition (2000)
| Content Provider | CiteSeerX |
|---|---|
| Author | Jogan, Matjaz Leonardis, Ales |
| Abstract | { matjaz.jogan,alesl} @ frimi-lj.si 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. 1. Introduction and |
| File Format | |
| Publisher Date | 2000-01-01 |
| Publisher Institution | in 15th ICPR |
| Access Restriction | Open |
| Subject Keyword | Eigenspace Approach Standard Approach Panoramic View-based Recognition Robust Framework Real Panoramic Image Spa-tial Localization Major Advantage Mod-elling Cluttered Environment View-based Method Panoramic Image Robust Localization Good Prospect Wide Field-of-view Alesl Frimi-lj Similar View Redundant Information Large Degree Achieved Robustness Experimental Result Recent Study View-based Lo-calization Learning Phase |
| Content Type | Text |
