Optimizing Background Subtraction for OST-HMD

Jae Woo Kim, Je Ho Ryu, Seung Su Ryu, Kang Kyu Lee, Jong Ok Kim

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

    3 Citations (Scopus)

    Abstract

    Transparency of optical see-through head-mounted displays (OST-HMDs) makes them suffer from background blending. Existing works have tackled this problem by color correction, but have not addressed how to estimate the background color accurately. In this paper, we apply colorimetric estimation to the subtraction compensation for background blending. Moreover, we propose an optimization framework that trades-off the overall color distortion and clipping to achieve the optimal color correction, constrained to keeping image structures and details.

    Original languageEnglish
    Title of host publicationAdjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017
    EditorsWolfgang Broll, Holger Regenbrecht, Gerd Bruder, Myriam Servieres, Maki Sugimoto, J Edward Swan
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages95-96
    Number of pages2
    ISBN (Electronic)9780769563275
    DOIs
    Publication statusPublished - 2017 Oct 27
    Event16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 - Nantes, France
    Duration: 2017 Oct 92017 Oct 13

    Publication series

    NameAdjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017

    Other

    Other16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017
    Country/TerritoryFrance
    CityNantes
    Period17/10/917/10/13

    Bibliographical note

    Funding Information:
    This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No. 2016R1A2B4012865).

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • Background blending
    • Background subtraction
    • Clipping
    • Colorimetric estimation
    • OST-HMD
    • Optimization

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Media Technology
    • Computer Science Applications

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