Object parameter estimation: a synergy of CV and VR

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

    Abstract

    A model-based approach, used to estimate object parameters from greylevel images, is described. Position and orientation of a cube are estimated from mono- and stereo-images. The Digital Elevation Map (DEM) of a wedge is computed from an animated sequence of 2 successive images acquired by a moving camera.
    Original languageEnglish
    Title of host publicationIMEKO 2000
    Subtitle of host publicationXVI IMEKO World Congress, Sept. 25-28, 2000, Vienna, Austria
    EditorsM.N. Durakbasa, P.H. Osanna, A. Afjehi-Sadat
    Place of PublicationVienna, Austria
    PublisherAustrian Society for Measurement and Automation
    Pages21-26
    Volume11
    ISBN (Print)3-901888-13-6
    Publication statusPublished - 25 Sep 2000
    EventXVI IMEKO World Congress 2000: Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future - Vienna, Austria
    Duration: 25 Sep 200028 Sep 2000
    Conference number: 16

    Conference

    ConferenceXVI IMEKO World Congress 2000
    Abbreviated titleIMEKO XVI
    CountryAustria
    CityVienna
    Period25/09/0028/09/00

    Keywords

    • Computer vision
    • Model-based
    • Parameter estimation
    • Virtual reality

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  • Cite this

    Houkes, Z., van der Heijden, F., & Regtien, P. P. L. (2000). Object parameter estimation: a synergy of CV and VR. In M. N. Durakbasa, P. H. Osanna, & A. Afjehi-Sadat (Eds.), IMEKO 2000: XVI IMEKO World Congress, Sept. 25-28, 2000, Vienna, Austria (Vol. 11, pp. 21-26). Vienna, Austria: Austrian Society for Measurement and Automation.