Parametric descriptions and estimation, a synergetic approach to resolving shape from shading and motion

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    1 Citation (Scopus)
    8 Downloads (Pure)

    Abstract

    Presents a method combining shape, shading and motion models in order to obtain estimations of 3D shape and motion parameters directly from image grey values. The problem is considered as an application of optimal parameter estimation theory, according to Liebelt (1967)
    Original languageUndefined
    Pages5-9
    Publication statusPublished - 1989

    Keywords

    • IR-57725

    Cite this

    @conference{765ca4d4e56f414f8d4222a147ea9919,
    title = "Parametric descriptions and estimation, a synergetic approach to resolving shape from shading and motion",
    abstract = "Presents a method combining shape, shading and motion models in order to obtain estimations of 3D shape and motion parameters directly from image grey values. The problem is considered as an application of optimal parameter estimation theory, according to Liebelt (1967)",
    keywords = "IR-57725",
    author = "Korsten, {Maarten J.} and Z. Houkes",
    year = "1989",
    language = "Undefined",
    pages = "5--9",

    }

    TY - CONF

    T1 - Parametric descriptions and estimation, a synergetic approach to resolving shape from shading and motion

    AU - Korsten, Maarten J.

    AU - Houkes, Z.

    PY - 1989

    Y1 - 1989

    N2 - Presents a method combining shape, shading and motion models in order to obtain estimations of 3D shape and motion parameters directly from image grey values. The problem is considered as an application of optimal parameter estimation theory, according to Liebelt (1967)

    AB - Presents a method combining shape, shading and motion models in order to obtain estimations of 3D shape and motion parameters directly from image grey values. The problem is considered as an application of optimal parameter estimation theory, according to Liebelt (1967)

    KW - IR-57725

    M3 - Paper

    SP - 5

    EP - 9

    ER -