Adaptive projection augmented reality with object recognition based on deep learning

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

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

3 Citations (Scopus)

Abstract

This study describes an Adaptive Projection Augmented Reality (AR) system that can provide information in real-time using object recognition. This approach is based on deep-learning through the construction of a 3D space from the real world. Through single system, a projector-camera unit with pan-tilt mechanism, the 360-degree space of user surroundings can be built into a 3-dimensional space and accomplish object and user recognition. a projection AR environment can be generated instantaneously. Information relevant to real-world objects can be provided through real-time interactions between the user and objects. Using spatial interaction, it also allows for achieving intuitive interactions with projection information, user interface (UI), and contents without touch sensors. Several scenarios for the use of this system are described below.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019
PublisherAssociation for Computing Machinery
Pages51-52
Number of pages2
ISBN (Electronic)9781450366731
DOIs
Publication statusPublished - 2019 Mar 16
Event24th International Conference on Intelligent User Interfaces, IUI 2019 - Marina del Ray, United States
Duration: 2019 Mar 162019 Mar 20

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference24th International Conference on Intelligent User Interfaces, IUI 2019
Country/TerritoryUnited States
CityMarina del Ray
Period19/3/1619/3/20

Bibliographical note

Publisher Copyright:
© 2019 ACM.

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

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