Raycast Calibration for Augmented Reality HMDs with Off-Axis Reflective Combiners

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PubDate: June 2020

Teams: Harvard University;Facebook

Writers: Qi Guo; Huixuan Tang; Aaron Schmitz; Wenqi Zhang; Yang Lou; Alexander Fix; Steven Lovegrove; Hauke Malte Strasdat

PDF: Raycast Calibration for Augmented Reality HMDs with Off-Axis Reflective Combiners

Abstract

Augmented reality overlays virtual objects on the real world. To do so, the head mounted display (HMD) needs to be calibrated to establish a mapping between 3D points in the real world with 2D pixels on display panels. This distortion is a high-dimensional function that also depends on pupil position and varifocal settings. We present Raycast calibration, an efficient approach to geometrically calibrate AR displays with off-axis reflective combiners. Our approach requires a small amount of data to estimate a compact, physics-based, and ray-traceable model of the HMD optics. We apply this technique to automatically calibrate an AR prototype with display, SLAM and eye-tracker, without user in the loop.

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