Recognizing the value of autostereoscopy for 3D displays in public contexts, we pursue the goal of large-scale, high-resolution, immersive virtual reality using lenticular displays. Our contributions include the scalable tiling of lenticular displays to large fields of view and the use of GPU image interleaving and application optimization for real-time performance. In this context, we examine several ways to improve group-viewing by combining user tracking with multi-view displays. Copyright © 2010 by the Association for Computing Machinery, Inc.
|Original language||English (US)|
|Title of host publication||Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology - VRST '10|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||4|
|State||Published - 2010|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): US-2008-107, SA-C0064
Acknowledgements: This publication is based on work supported in part by Award NoUS-2008-107/SA-C0064, made by King Abdullah University ofScience and Technology (KAUST).Additional support was provided by the Arts, Visualization, AdvancedTechnologies and Research (AVATAR) Initiative at the Centerfor Computation & Technology at Louisiana State University.UCSD received major funding from the State of California for theStarCAVE. UIC receives major funding from the National ScienceFoundation (NSF), awards CNS-0420477 (LambdaVision), OCI-0943559 (SAGE) and CNS-0959053 (NG-CAVE), and also receivessupport from Sharp Laboratories of America and the Stateof Illinois. Also, UCSD and UIC were lead institutions of the NSFfundedOptIPuter project, award OCI-0225642.CAVETMis a trademark of the Board of Trustees of the Universityof Illinois.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.