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Motion image data collection simulation for structure-from-motion 3D target reconstruction
Author(s): Andrew Kalukin; Robert Pinkerton
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Paper Abstract

Motion imagery can be used in some circumstances as a source of data for reconstructing three-dimensional (3D) representations of targets and objects in the scene. This research explores the utility of using motion image data collection simulation for input to a 3D target reconstruction algorithm based on structure-from-motion. The use of simulated video is advantageous for testing potential collections on targets or geographical areas for which real video and images may be unavailable. Examples are provided of tests of angular sampling and occlusion, degradation of input imagery through blurring, and measurement of their effects on 3D reconstruction quality.

Paper Details

Date Published: 27 April 2018
PDF: 11 pages
Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 1064509 (27 April 2018); doi: 10.1117/12.2306535
Show Author Affiliations
Andrew Kalukin, National Geospatial-Intelligence Agency (United States)
Robert Pinkerton, National Geospatial-Intelligence Agency (United States)


Published in SPIE Proceedings Vol. 10645:
Geospatial Informatics, Motion Imagery, and Network Analytics VIII
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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