Display-Relative Calibration for Optical See-Through Head-Mounted Displays

Owen, Charles B.; Zhou, Ji Ping; Tang, Arthur; Xiao, Fan

doi:10.1109/ismar.2004.28

Cited by 76 publications

(58 citation statements)

References 16 publications

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“…To obtain such projections, many of the existing methods require user interactions. A very good, detailed discussion is given in Zhou's dissertation [35,26]. We here provide a brief overview of the most relevant approaches.…”

Section: Display Calibrationmentioning

confidence: 99%

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Itoh¹,

Klinker

2014

2014 IEEE Symposium on 3D User Interfaces (3DUI)

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It is a common problem of AR applications that optical see-through head-mounted displays (OST-HMD) move on users' heads or are even temporarily taken off, thus requiring frequent (re)calibrations. If such calibrations involve user interactions, they are time consum ing and distract users from their applications. Furthermore, they in ject user-dependent errors into the system setup and reduce users' acceptance of OST-HMDs.To overcome these problems, we present a method that utilizes dynamic 3D eye position measurements from an eye tracker in combination with pre-computed, static display calibration parame ters. Our experiments provide a comparison of our calibration with SPAAM (Single Point Active Alignment Method) for several head display conditions: in the first condition, repeated calibrations are conducted while keeping the display position on the user's head fixed. In the second condition, users take the HMD off and put it back on in between calibrations. The result shows that our new calibration with eye tracking is more stable than repeated SPAAM calibrations. We close with a discussion on potential error sources which should be removed to achieve higher calibration quality.

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Section: Display Calibrationmentioning

confidence: 99%

Interaction-free calibration for optical see-through head-mounted displays based on 3D Eye localization

Itoh¹,

Klinker

2014

2014 IEEE Symposium on 3D User Interfaces (3DUI)

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“…The subsequent evaluation is however made with the same camera, and not with a human eye, and therefore does not illustrate the effects of mismatching camera and eye position. Owen et al (Owen et al, 2004) also use camera aided calibration and addresses the challenge of switching camera for human eye by dividing the calibration procedure in two phases, one for intrinsic and one for extrinsic parameters. However, together with Genc et al (Genc et al, 2002), all three works rely on the fact that intrinsic parameters only need to be estimated once, and do not change between user sessions.…”

Section: C)mentioning

confidence: 99%

Optical see-through head mounted display direct linear transformation calibration robustness in the presence of user alignment noise

Axholt¹,

Skoglund²,

Peterson³

et al. 2010

PsycEXTRA Dataset

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“…We believe this is a marked improvement over existing HMD calibration methods [15,20,28], although these papers did not provide pixel errors and so could not be compared directly with our method. These methods also require many judgments from a skilled human observer which, as we outlined above, would take a prohibitive amount of time to capture enough samples to robustly estimate the display parameters.…”

Section: Spatial Calibration Of Head Mounted Displaymentioning

confidence: 99%