Minimum Separation Vector Mapping (MSVM)
Glenn Jocher, John T. Dolloff, Peter J. Doucette, Bryant Hottel, Hank J. Theiss · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.