19 June 2014 Minimum Separation Vector Mapping (MSVM)
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Abstract
In this paper we demonstrate a technique for extracting 3-dimensional data from 2-dimensional GPS-tagged video. We call our method Minimum Separation Vector Mapping (MSVM), and we verify it's performance versus traditional Structure From Motion (SFM) techniques in the field of GPS-tagged aerial imagery, including GPS-tagged full motion video (FMV). We explain how MSVM is better posed to natively exploit the a priori content of GPS tags when compared to SFM. We show that given GPS-tagged images and moderately well known intrinsic camera parameters, our MSVM technique consistently outperforms traditional SFM implementations under a variety of conditions.
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Glenn R. Jocher, John T. Dolloff, Peter J. Doucette, Bryant M. Hottel, Hank J. Theiss, "Minimum Separation Vector Mapping (MSVM)", Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890A (19 June 2014); doi: 10.1117/12.2053833; https://doi.org/10.1117/12.2053833
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