Display methods of projection augmented reality based on deep learning pose estimation

Hyocheol Ro, Jung Hyun Byun, Yoon Jung Park, Tack Don Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationACM SIGGRAPH 2019 Posters, SIGGRAPH 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450363143
DOIs
Publication statusPublished - 2019 Jul 28
EventACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 - Los Angeles, United States
Duration: 2019 Jul 28 → …

Publication series

NameACM SIGGRAPH 2019 Posters, SIGGRAPH 2019

Conference

ConferenceACM SIGGRAPH 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019
CountryUnited States
CityLos Angeles
Period19/7/28 → …

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).

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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