Presentation + Paper
27 March 2021 Measuring world-locking accuracy in AR/MR head-mounted displays
Author Affiliations +
Abstract
Reliable world locking in augmented and mixed reality (AR/MR) devices is important for achieving immersion and critical for technical applications that rely on stable anchoring of virtual objects in the real world. To achieve this, a head-mounted display (HMD) must maintain accurate knowledge of its real-world position and orientation. We describe a method for measuring the six-degrees-of-freedom (DOF) positioning accuracy of an HMD, and how the same method can be extended to quantify the accuracy of anchoring virtual objects in the real world, i.e., world locking. An HMD is placed on a 6-DOF test jig comprising a motion system with high precision encoders and a time-synchronized imaging system. The HMD is made to display a 3D grid of unique identification markers that are detected by a machine vision camera in real time, while the robot is moving. This allows us to track the position and pose of the virtual camera and compare that with the known HMD position and pose. Using similar methodology, we can display virtual objects with a suitable number of unique identification markers. Their virtual object position and pose can then be compared to the real HMD position, thereby quantifying the accuracy of world locking. For improved accuracy, markers can also be printed out and pasted onto real-world objects. Other temporal parameters can also be computed, including motion-to-photon latency, spatial jitter, pose drift and prediction over/undershoot. The obtained results can be used to improve or recalibrate the positioning software and hardware of the head-mounted device.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janne Simonen, Tommi Björk, Tommi Nikula, and Kalle Ryynänen "Measuring world-locking accuracy in AR/MR head-mounted displays", Proc. SPIE 11765, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) II, 117650U (27 March 2021); https://doi.org/10.1117/12.2584208
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KEYWORDS
Head-mounted displays

3D displays

Cameras

Imaging systems

Computer programming

Machine vision

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