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

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2 Author(s)
E. R. Van Dop ; Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands ; P. P. L. Regtien

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

Published in:

Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on

Date of Conference:

23-25 Jun 1998