Finger posture estimation using 3D medial axes

Yun Ouedraogo, Yoshimitsu Aoki

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

    2 Citations (Scopus)

    Abstract

    We propose a method for tracking a hand in real-time, using depth information from a single Kinect sensor. The fingers are segmented using medial axes on an image generated by the depth discontinuities. The palm position and orientation is estimated from the position of the wrist as well as the distance to the closest contour points. The detected medial axes are projected in the palm plane for labelling, and then used for direct posture estimation of unoccluded phalanges. Inverse kinematics provide the missing information in case of occlusion. Our approach can be related to an inverse kinematics approach based on fingertip detection, with additional robustness to fingertip occlusion provided by the medial axis of each visible phalanx.

    Original languageEnglish
    Title of host publicationProceedings - 2014 7th International Conference on Human System Interactions, HSI 2014
    PublisherIEEE Computer Society
    Pages71-75
    Number of pages5
    ISBN (Print)9781479947140
    DOIs
    Publication statusPublished - 2014 Jan 1
    Event7th International Conference on Human System Interactions, HSI 2014 - Lisbon, Portugal
    Duration: 2014 Jun 162014 Jun 18

    Publication series

    NameProceedings - 2014 7th International Conference on Human System Interactions, HSI 2014

    Other

    Other7th International Conference on Human System Interactions, HSI 2014
    CountryPortugal
    CityLisbon
    Period14/6/1614/6/18

    ASJC Scopus subject areas

    • Human-Computer Interaction

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  • Cite this

    Ouedraogo, Y., & Aoki, Y. (2014). Finger posture estimation using 3D medial axes. In Proceedings - 2014 7th International Conference on Human System Interactions, HSI 2014 (pp. 71-75). [6860451] (Proceedings - 2014 7th International Conference on Human System Interactions, HSI 2014). IEEE Computer Society. https://doi.org/10.1109/HSI.2014.6860451