2021/09/29 by Tim Scargill, Jiasi Chen, Scargill, Tim +3
Computer Science · Engineering · #Advanced Optical Imaging Technologies #Augmented Reality Applications #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Interactive and Immersive Displays #Robotics and Sensor-Based Localization
paper · pdf · doi:10.48550/arxiv.2109.14757
openalex publication_date 2021/09/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Markerless augmented reality (AR) has the potential to provide engaging experiences and improve outcomes across a wide variety of industries; the overlaying of virtual content, or holograms, onto a view of the real world without the need for predefined markers provides great convenience and flexibility. However, unwanted hologram movement frequently occurs in markerless smartphone AR due to challenging visual conditions or device movement, and resulting error in device pose tracking. We develop a method for measuring hologram positional errors on commercial smartphone markerless AR platforms, implement it as an open-source AR app, HoloMeasure, and use the app to conduct systematic quantitative characterizations of hologram stability across 6 different user actions, 3 different smartphone models, and over 200 different environments. Our study demonstrates significant levels of spatial instability in holograms in all but the simplest settings, and underscores the need for further enhancements to pose tracking algorithms for smartphone-based markerless AR.