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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.
Andrew Kalukin andRobert Pinkerton
"Motion image data collection simulation for structure-from-motion 3D target reconstruction", Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 1064509 (27 April 2018); https://doi.org/10.1117/12.2306535
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Andrew Kalukin, Robert Pinkerton, "Motion image data collection simulation for structure-from-motion 3D target reconstruction," Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 1064509 (27 April 2018); https://doi.org/10.1117/12.2306535