Abstract
In this paper, we propose three display methods for projection-based augmented reality. In spatial augmented reality (SAR), determining where information, objects, or contents are to be displayed is a difficult and important issue. We use deep learning models to estimate user pose and suggest ways to solve the issue based on this data. Finally, each method can be appropriately applied according to various the applications and scenarios.
| Original language | English |
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| Title of host publication | ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450363143 |
| DOIs | |
| Publication status | Published - 2019 Jul 28 |
| Event | ACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 - Los Angeles, United States Duration: 2019 Jul 28 → … |
Publication series
| Name | ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019 |
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Conference
| Conference | ACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 |
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| Country/Territory | United States |
| City | Los Angeles |
| Period | 19/7/28 → … |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.NRF-2018R1A2A1A05078628).
Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction