A Study of Image Processing Based Object Depth Estimation

Der-Cherng Liaw, Shao Chun Zhao, Yi Ming Hu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Issue of object's depth estimation from binocular vision technique is studied in this paper. A binocular vision platform is set up to detect and estimate the object's depth. Mathematical derivation of object's depth from the two cameras of the proposed platform is re-visited to reveal the linkage between system parameters such as focal length and the estimation error. Both of simulation and experimental results are obtained for parametric analysis of estimation error. A comparison with Kinect is also given to demonstrate the superiority of the proposed design.

    Original languageEnglish
    Title of host publicationICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
    PublisherIEEE Computer Society
    Pages949-954
    Number of pages6
    ISBN (Electronic)9788993215182
    DOIs
    StatePublished - Oct 2019
    Event19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
    Duration: 15 Oct 201918 Oct 2019

    Publication series

    NameInternational Conference on Control, Automation and Systems
    Volume2019-October
    ISSN (Print)1598-7833

    Conference

    Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
    Country/TerritoryKorea, Republic of
    CityJeju
    Period15/10/1918/10/19

    Keywords

    • binocular vision
    • Depth sensing
    • stereo vision

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