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Proceedings Paper

Minimum Separation Vector Mapping (MSVM)
Author(s): Glenn R. Jocher; John T. Dolloff; Peter J. Doucette; Bryant M. Hottel; Hank J. Theiss
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Paper 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.

Paper Details

Date Published: 19 June 2014
PDF: 18 pages
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
Show Author Affiliations
Glenn R. Jocher, Integrity Applications, Inc. (United States)
John T. Dolloff, Integrity Applications, Inc. (United States)
Peter J. Doucette, Integrity Applications, Inc. (United States)
Bryant M. Hottel, Integrity Applications, Inc. (United States)
Hank J. Theiss, Integrity Applications, Inc. (United States)


Published in SPIE Proceedings Vol. 9089:
Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II
Matthew F. Pellechia; Kannappan Palaniappan; Shiloh L. Dockstader; Paul B. Deignan; Peter J. Doucette; Donnie Self, Editor(s)

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