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== Methods == | == Methods == | ||
===Accuracy and Temporal Noise Characterization=== | |||
To establish a baseline of the error present in the point cloud construction from multi-camera setup, we first characterized the accuracy and temporal noise for a single camera. To accomplish this, we designed an experimental rig—depicted in Figures # and #—which allowed the imaging plane of the camera and the surfaced of the wall to oriented parallel to each other. The camera could then be adjusted to different distances from the wall while maintaining this orientation. We performed recordings ranging from 0.2 – 2 meters at increments of 0.2 meters. Five, 1-minute recording with a sampling rate of 90 frames per second were taken at each measurement distance, analysis for all recordings was confined to the same section of wall, which possessed a matte, textured finish.[[File:exp_rig.png]] | |||
===Camera Calibration=== | |||
===3D Point Cloud Construction=== | |||
== Results == | == Results == | ||
Revision as of 19:56, 12 December 2019
Introduction
Background
Methods
Accuracy and Temporal Noise Characterization
To establish a baseline of the error present in the point cloud construction from multi-camera setup, we first characterized the accuracy and temporal noise for a single camera. To accomplish this, we designed an experimental rig—depicted in Figures # and #—which allowed the imaging plane of the camera and the surfaced of the wall to oriented parallel to each other. The camera could then be adjusted to different distances from the wall while maintaining this orientation. We performed recordings ranging from 0.2 – 2 meters at increments of 0.2 meters. Five, 1-minute recording with a sampling rate of 90 frames per second were taken at each measurement distance, analysis for all recordings was confined to the same section of wall, which possessed a matte, textured finish.
Camera Calibration
3D Point Cloud Construction
Results
Conclusions
Appendix
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