Vision-based robust calibration for optical see-through head-mounted displays

Makibuchi, Naoya; Kato, Hirokazu; Yoneyama, Akio

doi:10.1109/icip.2013.6738449

Cited by 22 publications

(18 citation statements)

References 7 publications

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“…Recently, Makibuchi et al [20] have developed a calibration method for OST-HMDs. They have attached a camera to an OST HMD and estimated users' eye positions with a fiducial marker.…”

Section: Combinations Of Hmos and Eye Trackersmentioning

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)

100

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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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“…Recently, Makibuchi et al [20] have developed a calibration method for OST-HMDs. They have attached a camera to an OST HMD and estimated users' eye positions with a fiducial marker.…”

Section: Combinations Of Hmos and Eye Trackersmentioning

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)

100

View full text Add to dashboard Cite

show abstract

“…Generally, the reprojection error is less than 5 pixels which is shown in Figure 5. Using natural targets to calibration, the error has been as small as Naoya Makibuchi did in his paper [10] based on ViRC method.…”

Section: Calibration Based On Plane Targetsmentioning

confidence: 93%

“…The proposed method was based on Exit Pupil Microdisplay photogrammetry and considered not only the radial distortion but also the tangential distortion. Naoya Makibuchi et al [10] put a camera in the same position with the human eye to calibrate OSTHMDs automatically, which was called ViRC, and decrease the error to a large extent. In 2014, Kenneth R.Moser et al [11] proposed a system in which the human head was fixed, removing the postural sway error.…”

Section: Related Workmentioning

confidence: 99%

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3D optical see-through head-mounted display based augmented reality system and its application

et al. 2015

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The combination of health and entertainment becomes possible due to the development of wearable augmented reality equipment and corresponding application software. In this paper, we implemented a fast calibration extended from SPAAM for an optical see-through head-mounted display (OSTHMD) which was made in our lab. During the calibration, the tracking and recognition techniques upon natural targets were used, and the spatial corresponding points had been set in dispersed and well-distributed positions. We evaluated the precision of this calibration, in which the view angle ranged from 0 degree to 70 degrees. Relying on the results above, we calculated the position of human eyes relative to the world coordinate system and rendered 3D objects in real time with arbitrary complexity on OSTHMD, which accurately matched the real world. Finally, we gave the degree of satisfaction about our device in the combination of entertainment and prevention of cervical vertebra diseases through user feedbacks.

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“…Their research also proved that the eye position was an important parameter during a calibration. Makibuchi et al . proposed a vision‐based robust calibration method, which divided the calibration process into two phases.…”

Section: Related Workmentioning

confidence: 99%

Task‐driven latent active correction for physics‐inspired input method in near‐field mixed reality applications

Zhang

Guo

et al. 2018

J Soc Info Display

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Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see‐through head‐mounted display, a key problem is how to guarantee the accuracy of hand–eye coordination by decreasing the instability of the eye and the head‐mounted display in long‐term use. In this paper, we propose a real‐time latent active correction algorithm to decrease hand–eye calibration errors accumulated over time. Experimental results show that we can guarantee an effective calibration result and improve the user experience with the proposed latent active correction algorithm. Based on the proposed system, experiments about virtual buttons are also designed, and the interactive performance regarding different scales of virtual buttons is presented. Finally, a direct physics‐inspired input method is constructed, which shares a similar performance with the gesture‐based input method but provides a lower learning cost due to its naturalness.

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Vision-based robust calibration for optical see-through head-mounted displays

Cited by 22 publications

References 7 publications

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

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

3D optical see-through head-mounted display based augmented reality system and its application

Task‐driven latent active correction for physics‐inspired input method in near‐field mixed reality applications

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