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Associating Real Objects with Virtual Models for VR Interaction

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Published:14 December 2021Publication History

ABSTRACT

In this paper, we present a prototype system that is capable of associating real objects with virtual models and turning the table top into imaginary virtual scenes. A user can interact with these objects when she or he is immersed in the virtual environment. To accomplish this goal, a vision-based system is developed to online recognize and track the real objects in the scene. The corresponding virtual models are retrieved based on their tactile shapes. They are displayed and moved on a head-mounted display (HMD) according to tracked object poses. The experiment demonstrates that our prototype system can find reasonable association between real and virtual objects, and users are interested in the novel interaction.

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References

  1. Anuruddha Hettiarachchi and Daniel Wigdor. 2016. Annexing Reality: Enabling Opportunistic Use of Everyday Objects as Tangible Proxies in Augmented Reality. In Proc. ACM CHI Conference on Human Factors in Computing Systems. 1957–1967.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Wei-Lun Huang, Chun-Yi Hung, and I-Chen Lin. 2021. Confidence-based 6D Object Pose Estimation. IEEE Transactions on Multimedia(2021).Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Walter Wohlkinger and Markus Vincze. 2011. Ensemble of shape functions for 3D object classification. In IEEE Intl. Conf. on Robotics and Biomimetics. 2987–2992.Google ScholarGoogle ScholarCross RefCross Ref
  4. Li-Chen Wu, I-Chen Lin, and Ming-Han Tsai. 2016. Augmented Reality Instruction for Object Assembly Based on Markerless Tracking. In Proc. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games(I3D ’16). 95–102.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    SA '21 Posters: SIGGRAPH Asia 2021 Posters
    December 2021
    87 pages
    ISBN:9781450386876
    DOI:10.1145/3476124
    • Editors:
    • Shuzo John Shiota,
    • Ayumi Kimura,
    • Wan-Chun Alex Ma

    Copyright © 2021 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 14 December 2021

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    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate178of869submissions,20%

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