When Anchoring Fails: Interactive Alignment of Large Virtual Objects in Occasionally Failing AR Systems

Abstract

Augmented reality systems show virtual object models overlaid over real ones, which is helpful in many contexts, e.g., during maintenance. Assuming all geometry is known, misalignments in 3D poses will still occur without perfectly robust viewer and object 3D tracking. Such misalignments can impact the user experience and reduce the potential benefits associated with AR systems. In this paper, we implemented several interaction algorithms to make manual virtual object alignment easier, based on previously presented methods, such as HoverCam, SHOCam, and a Signed Distance Field. Our approach also simplifies the user interface for manual 3D pose alignment in 2D input systems. The results of our work indicate that our approach can reduce the time needed for interactive 3D pose alignment, which improves the user experience. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.