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Title: Adaptive filtering of physical-virtual artifacts for synthetic animatronics
Spatial Augmented Reality (SAR), e.g., based on monoscopic projected imagery on physical three-dimensional (3D) surfaces, can be particularly well-suited for ad hoc group or multi-user augmented reality experiences since it does not encumber users with head-worn or carried devices. However, conveying a notion of realistic 3D shapes and movements on SAR surfaces using monoscopic imagery is a difficult challenge. While previous work focused on physical actuation of such surfaces to achieve geometrically dynamic content, we introduce a different concept, which we call “Synthetic Animatronics,” i.e., conveying geometric movement or deformation purely through manipulation of the imagery being shown on a static display surface. We present a model for the distribution of the viewpoint-dependent distortion that occurs when there are discrepancies between the physical display surface and the virtual object being represented, and describe a realtime implementation for a method of adaptively filtering the imagery based on an approximation of expected potential error. Finally, we describe an existing physical SAR setup well-suited for synthetic animatronics and a corresponding Unity-based SAR simulator allowing for flexible exploration and validation of the technique and various parameters.  more » « less
Award ID(s):
1800961 1564065
PAR ID:
10105837
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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