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


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Dop, Erik R. van and Regtien, Paul P.L. (1998) Fitting undeformed superquadrics to range data: improving model recovery and classification. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 23-25 June 1998, Santa Barbara, California, USA (pp. pp. 396-402).

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Abstract: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
Item Type:Conference or Workshop Item
Copyright:© 1998 IEEE
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Link to this item:http://purl.utwente.nl/publications/16326
Official URL:http://dx.doi.org/10.1109/CVPR.1998.698636
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