Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Alignment of the Virtual Scene to the Tracking Space of a Mixed Reality
  Head-Mounted Display   With the mounting global interest for optical see-through head-mounted
displays (OST-HMDs) across medical, industrial and entertainment settings, many
systems with different capabilities are rapidly entering the market. Despite
such variety, they all require display calibration to create a proper mixed
reality environment. With the aid of tracking systems, it is possible to
register rendered graphics with tracked objects in the real world. We propose a
calibration procedure to properly align the coordinate system of a 3D virtual
scene that the user sees with that of the tracker. Our method takes a blackbox
approach towards the HMD calibration, where the tracker's data is its input and
the 3D coordinates of a virtual object in the observer's eye is the output; the
objective is thus to find the 3D projection that aligns the virtual content
with its real counterpart. In addition, a faster and more intuitive version of
this calibration is introduced in which the user simultaneously aligns multiple
points of a single virtual 3D object with its real counterpart; this reduces
the number of required repetitions in the alignment from 20 to only 4, which
leads to a much easier calibration task for the user. In this paper, both
internal (HMD camera) and external tracking systems are studied. We perform
experiments with Microsoft HoloLens, taking advantage of its self localization
and spatial mapping capabilities to eliminate the requirement for line of sight
from the HMD to the object or external tracker. The experimental results
indicate an accuracy of up to 4 mm in the average reprojection error based on
two separate evaluation methods. We further perform experiments with the
internal tracking on the Epson Moverio BT-300 to demonstrate that the method
can provide similar results with other HMDs.

26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: stat