Abstract | ||
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In this paper, we present a framework for 6D absolute scale motion and structure estimation of a multi-camera system in challenging indoor environments. It operates in real-time and employs information from two cameras with non-overlapping fields of view. Monocular Visual Odometry supplying up-to-scale 6D motion information is carried out in each of the cameras, and the metric scale is recovered via a linear solution by imposing the known static transformation between both sensors. The redundancy in the motion estimates is finally exploited by a statistical fusion to an optimal 6D metric result. The proposed technique is robust to outliers and able to continuously deliver a reasonable measurement of the scale factor. The quality of the framework is demonstrated by a concise evaluation on indoor datasets, including a comparison to accurate ground truth data provided by an external motion tracking system. |
Year | Venue | Keywords |
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2012 | CVPR | scale factor,non-overlapping field,multi-camera system,motion information,absolute scale motion,metric scale,external motion tracking system,motion estimate,stereo Visual Odometry,indoor environment,indoor datasets,metric result |
DocType | Citations | PageRank |
Conference | 2 | 0.36 |
References | Authors | |
0 | 1 |
Name | Order | Citations | PageRank |
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Janosch Nikolic | 1 | 225 | 9.19 |