Fitting undeformed superquadrics to range data: improving model recovery and classification

E.R. van Dop, Paulus P.L. Regtien

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    Undeformed superquadrics are volumetric modeling primitives with an extensive shape vocabulary that are described by only 5 parameters. Fitting these models viewpoint invariantly to range data enables classification based on the superquadric parameters. However, current recovery routines show several limitations, especially when the algorithms are applied to range images instead of true 3D images. In this paper problems with the common superquadric recovery procedure are identified and solutions are presented
    Original languageUndefined
    Title of host publicationProceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    Place of PublicationSanta Barbara, California, USA
    ISBN (Print)0-8186-8497-6
    Publication statusPublished - 23 Jun 1998
    EventIEEE Conference on Computer Vision and Pattern Recognition, CVPR 1998 - Santa Barbara, United States
    Duration: 23 Jun 199825 Jun 1998

    Publication series



    ConferenceIEEE Conference on Computer Vision and Pattern Recognition, CVPR 1998
    Abbreviated titleCVPR 1998
    CountryUnited States
    CitySanta Barbara


    • IR-16326
    • METIS-113211

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