Estimating 3-D body parameters from reflection component separating imagery: a performance analysis

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    Abstract

    Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity
    Original languageEnglish
    Title of host publicationProceedings of the International Symposium on Computer Vision - ISCV
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages413-418
    Number of pages6
    ISBN (Print)0-8186-7190-4
    DOIs
    Publication statusPublished - 1995
    EventIEEE International Symposium on Computer Vision 1995 - Coral Gables, United States
    Duration: 21 Nov 199523 Nov 1995

    Conference

    ConferenceIEEE International Symposium on Computer Vision 1995
    CountryUnited States
    CityCoral Gables
    Period21/11/9523/11/95

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