Inside-out Tracking

Inside-Out Tracking is a tracking methodology in head-mounted display systems that determines position and orientation by processing externally observed environmental features through onboard sensors, distinguishing itself from outside-in approaches by situating the sensing apparatus on the tracked device rather than in the external environment.

27

Publications

1.4K

Citations

129

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

129

  1. KS
    Kiyohide Satoh

    Canon (Japan), Japan

    2 publications · 43 citations

    2

    h-index

  2. EO
    Eyal Ofek

    Microsoft (United States), United States

    2 publications · 90 citations

    2

    h-index

  3. CZ
    Christopher Zach

    ETH Zurich, Switzerland

    2 publications · 555 citations

    2

    h-index

  4. HY
    Hiroyuki Yamamoto

    Kobe University, Japan

    2 publications · 43 citations

    2

    h-index

  5. JY
    Junrui Yang

    Stanford University, United States

    2 publications · 104 citations

    2

    h-index

1–5 of 129

Venues

  1. Neurosurgical FOCUS

    2 publications · 91 citations

    2

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  2. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 555 citations

    2

    h-index

  3. 1

    h-index

  4. Clinical Orthopaedics and Related Research

    1 publications · 42 citations

    1

    h-index

  5. Sensors

    1 publications · 74 citations

    1

    h-index

1–5