Minimum Separation Vector Mapping (MSVM)

Glenn R. Jocher; John T. Dolloff; Peter J. Doucette; Bryant M. Hottel; Hank J. Theiss

doi:10.1117/12.2053833

19 June 2014 Minimum Separation Vector Mapping (MSVM)

Glenn R. Jocher, John T. Dolloff, Peter J. Doucette, Bryant M. Hottel, Hank J. Theiss

Proceedings Volume 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II; 90890A (2014) https://doi.org/10.1117/12.2053833
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Glenn R. Jocher, John T. Dolloff, Peter J. Doucette, Bryant M. Hottel, and 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); https://doi.org/10.1117/12.2053833

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