Tag detection algorithm for improving the instability problem of an augmented reality

Seok Won Lee, Dong Chul Kim, Do Yoon Kim, Tack Don Han

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

    3 Citations (Scopus)

    Abstract

    Detection technology is a requirement for an Augmented Reality system. One of the problems with detection technology is the instability problem, which occurs when an obstacle occludes a tag while detecting the tag, and the augmented object suddenly disappears. We have proposed a corner detection algorithm to solve this instability problem. The key feature is that if the tag can recognize its position using its four corner cells despite the obstacle being present, then it can maintain its augmented object. We defined the corner case for all types of cases where the instability problem occurs in ARToolkit or ARTag. We have adapted our proposed algorithm to the corner case in ARToolkit, ARTag and ColorCode vision systems and have compared their false detection rates.

    Original languageEnglish
    Title of host publicationProceedings - ISMAR 2006
    Subtitle of host publicationFifth IEEE and ACM International Symposium on Mixed and Augmented Reality
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages257-258
    Number of pages2
    ISBN (Print)1424406501, 9781424406500
    DOIs
    Publication statusPublished - 2006 Jan 1
    EventISMAR 2006: 5th IEEE and ACM International Symposium on Mixed and Augmented Reality - Santa Barbara, CA, United States
    Duration: 2006 Oct 222006 Oct 25

    Publication series

    NameProceedings - ISMAR 2006: Fifth IEEE and ACM International Symposium on Mixed and Augmented Reality

    Other

    OtherISMAR 2006: 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
    Country/TerritoryUnited States
    CitySanta Barbara, CA
    Period06/10/2206/10/25

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Software

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