Adaptive Filtering of Physical-Virtual Artifacts for Synthetic Animatronics
Loading...
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{10.2312:egve.20181316,
booktitle = {ICAT-EGVE 2018 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments},
editor = {Bruder, Gerd and Yoshimoto, Shunsuke and Cobb, Sue},
title = {{Adaptive Filtering of Physical-Virtual Artifacts for Synthetic Animatronics}},
author = {Schubert, Ryan and Bruder, Gerd and Welch, Gregory},
year = {2018},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {978-3-03868-058-1},
DOI = {10.2312/egve.20181316}
}