Calibration of virtual reality systems

Abstract

A virtual reality (VR) console receives slow calibration data from an imaging device and fast calibration data from an inertial measurement unit on a VR headset including a front and a rear rigid body. The slow calibration data includes an image where only the locators on the rear rigid body are visible. An observed position is determined from the slow calibration data and a predicted position is determined from the fast calibration data. If a difference between the observed position and the predicted position is greater than a threshold value, the predicted position is adjusted by a temporary offset until the difference is less than the threshold value. The temporary offset is removed by re-calibrating the rear rigid body to the front rigid body once locators on both the front and rear rigid body are visible in an image in the slow calibration data.

Description

technical field [0001] The present disclosure relates generally to calibrating systems, and more particularly, to calibrating virtual reality systems. Background technique [0002] Motion tracking is an old problem that has been solved in many devices. Examples include global positioning systems, aircraft radar systems, robotic systems, and home entertainment systems. In the last case, existing devices track the motion of a game controller or the person interacting with the game. [0003] Several important characteristics determine the type of sensing and the most suitable computing hardware: 1) the size of the rigid body, 2) the volume of space that can move on the rigid body, 3) the limit on the maximum rate of velocity and acceleration of the body, 4 ) predictability of rigid bodies. [0004] In a motion tracking system, it is usually required to track the motion of a device in contact with a human body while in a relatively small space (usually in a fixed room), but t...

AI Technical Summary

Problems solved by technology

Inaccurately operating a calibrated VR device may result in incorrect tracking of the headset's position or motion, causing inconsistencies between user motion and the media presented to the user via the headset

Additionally, one or more components that determine the helmet's position and movement can lose calibration over time or use

For example, changes in temperature or vibration can cause a camera imaging the helmet's motion to lose calibration

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