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Errors with respect to the "true pose" registration (obtained via the metallic marker camera calibration) were computed.
Table 2 Means and standard deviations (SD) of the errors in computing the 6 parameters of the 3D vertebral pose with respect to the reference value obtained via metallic marker camera calibration.
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Although our ambition was to use natural features, we had to focus on a marker tracking camera system, as for now the processing of natural features is still too slow for this application.
Using static measurements to determine the accuracy of our pose estimation algorithm we determined that the position of a marker in camera coordinates is very accurate when the marker is on the optical axis at 5 m, that is, less than 0.5 mm in and, and less than 1 cm along the optical axis.
Recording the full corpus took about 4 h (markers painting, camera calibration, material setup, tests, and recording) giving rise to 25 min of effective speech.
In various spots on the scuffed hardwoods are triangles of black tape — markers for camera placement.
The markers and camera were placed at participants' eye level.
When we convert the marker pose in camera coordinates to the camera pose in marker coordinates, the stochastic orientation error results in an error in position of 2.7 cm/m.
When a user sees a chair in VR they can sit in it in the real world, while physical objects can be picked up in-game thanks to infrared markers and cameras.
We have evaluated our model with real-world data (noisy gesture trajectories obtained with marker-free, camera-based body tracking).
Sony is currently the third largest camera marker after Canon and Nikon and its recent photo products are stunning.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com